blog Archives - Future of Field Service

By Sarah Nicastro, Creator and Editor in Chief, Future of Field Service

One of the themes that has come up repeatedly in conversations throughout my career is how many people serendipitously end up in field service. That includes myself – I wrote about my foray into field service here.

The elusiveness of how to describe the vast potential within the breadth of industries that make up ‘field service’ is a massive challenge. This challenge at least in part explains how rarely these careers are modeled to young talent and how often individuals “land” in field service without ever even knowing it existed.

On last week’s episode of Frontline UNSCRIPTED, Marina George, a Field Service Engineer at Oxford Instruments, she shared her own story that perfectly illustrates the narrow view of career paths we offer to students and young adults. As a child, Marina wanted to be a doctor. She loved science, and in her mind, as it is for so many young people interested in science, healthcare represented the obvious path.

"There really only seemed to be one career trajectory available with my love of science, which is being a doctor," she reflected. This summarizes well the way we generalize entire fields that represent hundreds of career paths into one of a handful of options kids know to consider or select for their future.

Years later, after pursuing undergraduate research, earning a PhD, completing a postdoctoral fellowship, and managing advanced microscopy technologies, Marina discovered field service.

A technology provider she had built a relationship with while setting up a laboratory suggested she consider a role within their business. Until that moment, Marina hadn't realized that a career existed that would allow her to combine her passion for science, technology, problem-solving, and helping people.

That conversation changed everything.

Today, she spends her days supporting researchers and scientists using some of the most advanced imaging technology available—while building relationships with customers and helping shape future product innovation.

Her story emphasizes an important question: How do we change the reality that much of the talent we seek aren’t aware that careers in field service exist?

The Visibility Problem: Painting a Narrow View of Career Opportunities

When we ask children what they want to be when they grow up, the answers tend to be remarkably consistent: doctor, teacher, firefighter, police officer, athlete, veterinarian.

There's nothing wrong with any of those careers. But they represent only a tiny fraction of the opportunities available. The challenge is how we help young people also see the diverse careers that sit adjacent to those familiar professions.

As Marina pointed out, every iconic profession has an entire ecosystem of supporting roles behind it. "I feel like all the careers that we see are these different icons, and kids don't realize that they have a whole team supporting them as well," she said. "Doctors, nurses; lawyers, paralegals—there are all of these extra careers that are part of that one piece."

Field service is an example of this that reaches across countless industries.

A student interested in science may never learn that they could spend their career installing, maintaining, troubleshooting, and optimizing cutting-edge scientific equipment. Someone fascinated by technology may never discover a role that combines technical expertise with customer engagement, travel, problem-solving, and innovation.

Yet these are precisely the types of careers many organizations are struggling immensely to fill.

I don’t have the answers on how, but I do believe that to adequately address talent shortages and create workforce sustainability, we need to expand awareness. We need to help young people understand not only the professions they recognize, but the countless opportunities that exist around them.

The Frontline Role: Technical Skills are Just the Start

What’s so interesting about Marina's story isn’t just how she found field service, but also what she discovered once she got there.

Like many people entering technical roles, she expected technology to be the primary focus. What she didn't anticipate was how much of her success would depend on relationships. "The biggest part that I love about my role is building that relationship with the customer," she said.

Working with highly sophisticated microscopy systems, Marina often finds herself spending hours alongside researchers in laboratories, helping them solve problems, navigate challenges, and maximize the value of their equipment.

Those interactions create something far more valuable than transactional support; they create trust. And trust creates insight.

Because field service engineers are often present during critical moments, they hear things customers don't always share through formal channels. "They really tell you what they want," Marina explained. "There's something special about that in-person, face-to-face human connection."

It's a reminder that while organizations continue investing in customer experience programs, surveys, and analytics, some of the richest customer intelligence still comes from the people closest to the customer.

The frontline doesn't just solve problems, they intimately understand them in a way that can help refine, improve, and expand your business if you harness that knowledge.

The Simplest Advice That Unlocks The Human Side of Field Service

While Marina has come to really enjoy and value customer relationships, she first had to overcome a challenge many frontline professionals face: developing confidence in customer interactions.

She admitted that when she first entered the role, the technical side felt comfortable. The human side felt less certain. She worried about how to communicate with customers. How to handle difficult conversations. How to interact with senior leaders and highly accomplished researchers.

The advice she received from leadership was surprisingly simple. "Just be yourself," she said was the encouragement she received.

At first glance, maybe that advice could seem almost too simplistic. But the more I interact with professionals across all levels of organizations and within various industries, the more I believe that authenticity is one of the most powerful relational skills anyone can develop.

Customers don't expect perfection. They expect honesty. They expect empathy. They expect someone who listens. We are best equipped to exhibit those characteristics when we aren’t expending energy trying to perform our role in the way we believe we’re supposed to, but are empowered to fulfill our role as our genuine selves.

Marina described how transformative it was to stop viewing interactions as performances and instead approach them as conversations between people. "Remembering that they're just people as well" became a mindset that helped her build confidence, whether she was working with researchers, executives, or laboratory leaders.

We know that today’s demands of the frontline extend far beyond technical skills; in fact, most leaders I speak with agree that the most impactful frontline capabilities are fundamentally human. Marina’s story about the advice she received and how it gave her the confidence she needed to build such deep customer relationships should prompt leaders to consider the value of trusting the talent you’ve chosen to do the job you’ve chosen them to do in a way that fits who they are.

What’s the Future of Career Growth in Field Service?

Another topic Marina and I explored was one that continues to surface across the industry: career progression. Historically, field service careers followed a fairly predictable path. Engineer becomes supervisor, supervisor becomes manager, manager becomes director, and so on.

But today's workforce increasingly wants progression and growth, which makes that traditional path an issue. Some talent wants a path to growth but don’t necessarily want to move into leadership, and organizations can’t simply promote everyone to a sea of leaders.

Marina believes organizations are missing opportunities if they fail to create broader career pathways for frontline talent. After all, field service professionals develop unique expertise that combines rich technical knowledge with an immersion in real-world operating environments and deep customer intimacy.

"Field service engineers are with the product every day," Marina said. "They're seeing things maybe the factory hasn't even seen."

That knowledge can create tremendous value across organizations—in product development, quality, applications, customer success, training, innovation, and beyond.

The challenge isn't finding career paths, but rather intentionally creating them—and adapting the organization to a model where frontline talent is farmed to various parts of the business rather than expected to stay in that role for 10, 15, 20 years (which simply isn’t realistic today).

The Opportunity Ahead

What I appreciated most about Marina's perspective is how her personal understanding of what field service is and what it represents to the business mirrors what we discuss often from a business standpoint:

Field service isn't simply about fixing equipment. It's about enabling outcomes. It's about building trust. It's about helping customers achieve what they're trying to accomplish.

Through this lens, the opportunity that exists for service businesses is exciting, but so too is the incredible potential for fulfilling careers. The challenge is articulating that potential and finding new ways to help talent see all that field service offers.

Because somewhere right now is a student just like Marina once was who also loves science, technology, problem-solving, and helping people but who has never heard of field service.

Yes, that is one of our biggest challenges, but it’s also one of our greatest opportunities.

By Sarah Nicastro, Creator and Editor in Chief, Future of Field Service

On last week’s podcast, I shared a summary of our first Live event since 2024 which took place at the beautiful Glasshouse Chelsea in NYC on June 2^nd. In catching up after the event, I’ve been humbled by the wonderful feedback we’ve received from those who joined us for the day.

These events, while intimate, take a tremendous amount of effort to plan and execute. At the height of the stressful moments, I’ve questioned myself – is this really worth it? Reading LinkedIn posts, receiving emails, and reviewing post-event survey responses reminds me the answer to that question is an emphatic yes.

If you’ve never joined one of our events, it’s hard for me to describe how special they are – and it’s the leaders to who join us, to speak and to engage, that make that the reality. The energy from the day in New York and the response we received from those who joined us has sparked massive excitement for the planning of our London event (September 24^th). More on that soon, but for now here are five of the top community-sourced takeaways from NYC.

#1: Technology Alone Can’t Power the Future of Service

Natalia Shuman, President and CEO of MISTRAS Group, and one of our NYC speakers, shared the following on LinkedIn: “One theme stood out throughout the day: the service organizations that will succeed in the years ahead are those that can effectively connect strategy, technology, and people. Whether the discussion centered on AI, workforce development, customer experience, or operational excellence, the message was consistent—technology alone is not the answer. Success comes from combining innovation with strong execution and empowered teams.”

I spoke in my opening keynote about the need to modernize our mindset around technology from viewing it as an enabler (which has been the historic thinking) to viewing it as a multiplier (more aligned with not only what today’s tools can do, but the impact organizations must seek). While I believe this is important, to Natalia’s point, it’s even more crucial for leaders to really and truly understand that no matter how capable a tech stack they invest in, it cannot and will not alone achieve what they need to achieve.

Natalia’s humble view on the necessity and value of both customer listening and frontline input was one I not only respect and admire, but that more leaders would be well-served to embrace. The future of service will be owned by companies who intimately understand what their customers value, who can successfully rally crucial talent to deliver that value, and who deploy technology to amplify value delivered beyond what’s possible with human talent alone.

**#2: AI is a Present-Day Business Imperative (But Not a Strategy)**

Tim LaHaie, Jr., Director of Operations at Torque by Ryder, shared a summary on LinkedIn in which he echoed Natalia’s point above. He said, “Leading through change requires more than technology. Successful transformation depends on aligning people, processes, and strategy while maintaining a strong focus on customer outcomes.”

He also dug into the AI aspect of technology more specifically, sharing that “AI is no longer a future discussion, it’s a present-day business conversation. The focus is shifting from experimentation to delivering measurable value for technicians, customers, and organizations.”

In an AI Think Tank with Nick Vandivere, Chief Innovation Officer at IFS Nexus Black, we had a lively discussion among the entire group around AI myths and missteps. One we discussed is that while many leaders are reporting they’re being told to “go do AI,” AI is not at all a strategy – it’s a tool to serve your strategy.

The discussion made very apparent Tim’s point above – that AI is a must-have present-day business mandate, but also that it isn’t a panacea, and it won’t magically solve your problems or realize your potential.

#3: The Growth Potential in Service is Massive

After lunch, Dave Clement and Eric Flato of Simon-Kucher ran a workshop on how to best leverage frontline superpower as a growth lever. The session, based in part on the findings of our joint research, highlighted the growth potential that exists across service industries.

Dave shared after, “My key takeaway across all the speakers was that many field service organizations are sitting on a tremendous growth opportunity that's already in front of customers every day - the technician. The challenge isn't finding opportunities; it's building the systems to capture them.”

Tim LaHaie agreed in his summary, saying, “The role of frontline technicians continues to expand. Organizations are increasingly recognizing their impact not only on service delivery but also on customer relationships, revenue growth, and long-term business success.”

The discussion in the room centered around what the best mechanisms are not only to capture the opportunities that exist, but to adequately and appropriately encourage, motivate, and incentivize the frontline to engage in this way. One key point that was made was that this works best when the organization is truly invested in the customers’ best interest and desired outcomes versus simply looking for short-term results. This is an excellent point to underscore, both in terms of what will drive true and lasting impact as well as what will be most palatable for the frontline to rally behind.

#4: We’re So Much Stronger Together

One of my favorite pieces of feedback that I’ve received after almost every Future of Field Service event is, “I feel so much less alone after hearing today that so many others are grappling with the same challenges.” The sense of camaraderie that surfaces is such a gift of these days and each event reminds me of the power of community.

Sheri Pelish, Chief Operating Officer at BFC Solutions, mentioned this in an email she sent to me following the event. She said, “I’d just like to take a quick moment to thank you for a great event. It far exceeded my expectations, in terms of not only content but connectedness. It’s rare, and a tremendous gift, to stand in a room with leaders who face the exact same challenges you do. I walked away with growth strategies, thoughts on how to better connect with my field technician team, and a perspective on how we can and should leverage AI within our business. I’m grateful and sincerely, nice job designing an impactful, relevant, and inspirational day.”

I appreciated this message deeply because it articulates really well what I’ve found hard to describe about what takes place at these events. No one can expect to leave with a blueprint for exactly how to go and solve every problem, but the realization you aren’t alone, the connections made, the points that re-energize and inspire you to go back and dig in with renewed gusto – I have been honored to witness those moments unfolding in real-time and it’s one of my proudest accomplishments.

#5: Service Organizations Must Seek Inspiration Outside Their Own Industry

All of the feedback we’ve received has pointed out the benefit of spending time learning from organizations outside your own industry – and I think this practice is especially important for today’s service leaders.

There was a point in time where being the best in your industry was enough – but today’s customers are influenced by experiences not only across industries, but from business to consumer, from professional to personal. There’s no more acceptance of offering the best “X” industry experience; you must level up.

Tanya Singh, CCO of Biotronics 3D and Co-Founder of the FemTech Healthcare Network, emphasizes this in the summary she shared on LinkedIn. She said, “It was fantastic to reconnect with familiar faces, meet new industry peers, and engage in thought-provoking discussions around leadership, AI, service transformation, and the future of customer experience. The speaker line-up was exceptional, featuring honest conversations, practical insights, and perspectives that challenged conventional thinking while remaining grounded in real-world experience. One of the aspects I value most about events like this is the opportunity to step outside our own industries and learn from leaders facing similar challenges from completely different perspectives.”

Another sincere thank you to those who joined us in NYC – and for those who took the time to share your takeaways on social, to send a personal note, or to share feedback through our survey. I am so appreciative of you making this community what it is!

Next up: London! If you’d like to join us there, you can register here.

By Sarah Nicastro, Creator and Editor in Chief, Future of Field Service

On last week’s podcast, I welcomed Marta Riggins, a strategic employer branding consultant who formerly held roles at Instacart, LinkedIn, and Pandora Music, to explore why employer branding matters so much for service leaders today and why she’s passionate about the opportunity for organizations to pave the way as “frontline-first.”

It’s clear that attracting, hiring, and retaining the next generation of frontline talent is one of the biggest challenges field service industries face. Marta shared some excellent advice on why, within your industry, it’s a must to consider the role employer branding plays, accurately assess your approach, and make adjustments to improve your position in the quest for tomorrow’s talent.

But as a resource that reaches across industries, I think there’s also something to consider around how field service as a whole creates an elevator pitch that succinctly explains what this unique collection of industries is, so that the ability to express the wealth of career paths within it becomes easier and resonates better. A couple of years ago my husband and I watched Halt and Catch Fire on AMC; one of the main characters made the statement that, “modern society sits on a foundation of services that we take for granted.”

I thought, wow, that simple phrase summarizes quite well what field service is and the important role it plays in our society. While each organization must consider how it positions itself as an employer of choice in its specific industry, influencing young people on the breadth of opportunity in field services will require a better understanding of the broader context. While an individualistic approach is necessary, greater collaboration on a collective identity I believe would be beneficial to create more momentum in youth visualizing the potential we all know exists.

With that food for thought shared, let’s get into some of the insights that Marta shared on last week’s podcast. Here I’ve curated seven levers we discussed that I believe many organizations may be underutilizing (or even missing altogether).

Lever #1: Understand the Importance of Perception

As you’ve heard, perception is everything. And while that isn’t entirely true as it relates to employer branding (which we’ll get into in Lever #2), how your company is perceived is crucial to your ability to attract talent. Is your brand presence confusing or clear? Boring or exciting? Fresh or outdated? What impression do you believe your ideal talent would have if they looked at your website, read a job description, or visited your company’s social media?

These are important questions to reflect on, and I’d surmise for many of you reading this should prompt action. One characteristic Marta stresses is personality, “The best employer branding really speaks to the personality of your company and even your industry.” She shared the example of Lunchbox from the restaurant industry, explaining how well it represents its space and reminding that it’s helpful to be playful, fun, unique.

Remember Maslow’s Hierarchy of Needs? Marta explains how that factors in when creating the story of your employer brand. “It kind of goes back to Maslow's Hierarchy of Needs where you're really looking at the progression of what draws people in: Am I going to get paid? Do I have compensation (basic) needs met? Then, do I have benefits that help with my health and my well-being? Is there stability? Is there flexibility? Am I learning something new?”

Lever #2: Recognize Your Employer Brand is Inextricably Linked to Employee Engagement

While you want to be creative in your employer branding, you also want to tell a story rooted in reality. “You could tell a story that's not true, but it will just create a revolving door,” says Marta. “You want to be creative and fun and even aspirational yet grounded in reality. What are the things that fundamentally are true in your culture or your work environment that you can speak to? There might be things that are aspirational where you know you're shifting but aren’t fully baked, and you can hint to those, but you can't go all in if it's not there.”

This means that you must reconcile the connection between the pitch of your employer brand and the reality of your employee experience and engagement. Otherwise you can tell a great story that doesn’t yield any lasting results. And this may cause some real reflection on changes that need to be made around the employee value proposition and employee experience, but to truly address this looming challenge that process, if required, is a necessity.

Marta suggests ensuring that as you develop your brand story, you have facts to support the picture you’re painting. “A good way to make sure that your branding is grounded in reality is to have data points. The way that I do branding is I'll write statements and I'll write copy, and then I make sure I can have multiple data points backing up what I'm saying,” she explains. “So, for instance, if I say we really value well-being at this company and time off, then I better back up what the policy is – what time off looks like, if there are shutdowns, what the benefits are, or tangible examples of how it’s present in the culture. That is one surefire way to make sure that you keep the employer brand story authentic to who you are.”

Lever #3: Turn Inward for Inspiration

One of the best sources of inspiration for your brand story is the employees you already have, across functions and levels of seniority. “I like to interview stakeholders when I develop this messaging. People from all different aspects of the company, geographies, levels, tenures. I like to ask people about why they joined and, if they’ve been there awhile, why they’ve stayed,” describes Marta. “Through this process you start to get interesting themes. I like to ask people, what do you think your unique cultural advantage is? What's unique to your company that I can't see on a career site or won’t read about in a benefit guide. You uncover these incredible stories that really speak to the culture.”

Lever #4: Don’t Ignore What the Talent You Want Wants

What today’s talent prioritizes may looks much different than what you’re accustomed to accommodating or tailoring to, but it’s to the organization’s detriment to ignore the realities of what’s important today. “Looking at the top value propositions that matter to candidates across generations, industries, and geographies, pay is number one. Number two is work/life balance and flexibility – flexibility is really the name of the game right now,” explains Marta.

Flexibility has been an area where many service businesses have defaulted to the reasons it’s difficult to provide rather than the potential solutions for how to offer more options and autonomy. But it’s an area that is increasingly important to address – and I believe that with the options available to organizations today, it’s a matter of unwillingness versus inability to do so.

Marta makes an important point that flexibility isn’t an all-or-nothing proposition or doesn’t need to look a certain way – there are many options for offering more control if you’re willing to think outside the box. “Flexibility can be agency over where you work or the hours that you work, the times that you work. It's not a specific demand so much as any agency you can give to people. It's about control if you go back to Maslow's hierarchy of needs again,” she explains. “There has been an increase of data 40% of employees will take up to a 5% pay cut just to have some sort of flexibility over their schedule.”

Job security is another high-ranking desire that many businesses seeking frontline talent are well-positioned to highlight. “Especially in the US, the job markets have been unstable. I think that's something that service industries can absolutely offer that a lot of industries cannot right now, and that is something to market,” Marta emphasizes.

Lever #5: Closely Consider Your Frontline Culture

As we discussed above, the employee experience needs to live up to the employer brand story – and many businesses are most at risk for falling short on that promise with their inability to effectively extend their company culture to field employees.

“87% of frontline workers aren't sure if the culture their company is marketing or talking about on their career site even applies to them, which I think is sad,” shares Marta. “And then 50% say that they don't feel they're even thought of or communicated to. I think these stats point to a massive opportunity to be frontline-first; to not only brand as such but be intentional about extending the culture to those employees.”

There are small and large ways to do so, and I’d recommend tuning in to Tetra Pak’s story to get some inspiration. It’s important not to underestimate the impact of really foundational efforts – better communication, consistent touchpoints, more listening, fostering connection among teams and to the business’s mission.

It’s well worth the time and effort to thoughtfully consider what the experience of your frontline teams feels like and where it’s leaving something to be desired. Filling those gaps not only will help you to improve engagement and retention but will help you in your quest to attract new talent as well.

Don’t overlook the impact of recognition – something that in many instances is reserved only for top sales efforts or executive-level positions. “I have clients with a president's club that’s not just for salespeople. It includes people who are cultural champions, people from finance and HR and all different parts of the business to attend. It has a great impact and, again, it's really just being intentional about extending existing programs and policies and recognition to all your workforce,” says Marta.

Lever #6: Ramp Up Creativity & Lean in to Change

Now is not the time to play it safe, to stay rooted in “what’s always worked,” or to stay married to overly firm beliefs about what “isn’t possible.” Rather, now is the time to be willing to shake things up, to take calculated risks, and to introduce a healthy dose of creativity into the process.

“There are stats that frontline industries would need to hire 250,000 people a month just to keep up with the rate of retirement. So, I think there's no choice but to change,” emphasizes Marta. “There's no profit without engagement and people. The industry is facing a talent scarcity in a real way, but I find that so exciting because I think this industry has such an incredible opportunity to rebrand as an amazing future path for people.”

Lever #7: Hire Marketing Talent to Level Up Your Approach

My discussion with Marta made me realize that in many instances, what’s lacking in creating the brand story to set yourself apart or ensuring that story resonates aesthetically and across the best channels is the specific skill set that marketers and consultants can bring. There are unique knowledge and aptitude that, when applied, make a remarkable difference in the outcome – and, in turn, make a meaningful difference in impact.

So perhaps another important lever to consider is where and how you might augment your existing skillset to help you in re-energizing your process, reconsidering your story, or reimagining your approach.

While often referred to specifically from a software perspective, Field Service Management (FSM) is the combination of processes, operating models, and software that organizations use to coordinate work performed at customer locations, remote sites, or in the field. It covers everything from receiving a service request to dispatching the right technician, ensuring parts are available, completing the job safely and efficiently, and capturing the outcomes for billing and continuous improvement. Done well, FSM aligns people, processes, and technology so the right technician—with the right skills, parts, and context—arrives at the right place at the right time.

FSM is more than a scheduling function; it is an orchestrated discipline that connects strategy, execution, and data. This guide explains what FSM entails, how it delivers measurable value, common pitfalls to avoid, and practical steps to implement or upgrade your approach. It also highlights emerging trends shaping the next generation of field operations and answers frequently asked questions to help you build a strong business case and plan for change (which is a must).

What Is Field Service Management?

Field Service Management (FSM) is the end-to-end orchestration of off-site service work. It brings together strategy, standardized processes, and digital tools to manage the full lifecycle of field operations—request intake, triage and prioritization, work order creation, scheduling and dispatch, on-site execution, customer confirmation, and invoicing—along with the data and feedback loops needed to continuously improve performance. If you are asking what field service management is in practical terms, think of it as the operating system that keeps people, parts, assets, and commitments in sync across dispersed work.

Organizations in sectors such as utilities, telecommunications, manufacturing, medical devices, HVAC, building and facilities services, construction, energy, transportation, and the public sector rely on FSM because their core work happens at customer premises or distributed locations rather than a single facility or group of internal locations. In these dispersed and service-centric environments, visibility and coordination are paramount: every minute of technician time, every mile driven, and each part consumed affects customer experience, response times, and profitability.

Core Components of FSM

Work order management: Create, assign, track, and close jobs with clear scopes, entitlements, and documentation.
Scheduling and dispatch: Match skills, certifications, location, availability, SLAs, and parts readiness to demand in real time.
Mobile field applications: Provide technicians with offline-capable access to work details, manuals, checklists, and collaboration tools.
Inventory and parts: Manage van stock, depots, and reverse logistics to make sure the right parts are on hand and costs are controlled.
Asset and installed base management: Maintain accurate records of equipment, configurations, service history, and warranties.
Contracts, warranties, and entitlements: Enforce service terms, coverage, and billing rules to protect margins and ensure compliance.
Invoicing and field payments: Capture time, materials, and approvals to accelerate cash collection and reduce leakage.
Customer communications: Provide appointment confirmations, arrival notifications, and digital service reports for transparency.
Analytics and reporting: Track KPIs, identify bottlenecks, and guide decision-making with operational data and trend analysis.
Safety and compliance: Embed procedures, risk assessments, permits, and digital approvals to protect people and operations.

The scope of FSM extends beyond single visits to include preventive and predictive maintenance programs, recurring services, seasonal peaks, subcontractor coordination, and SLA management. Integration with ERP, CRM, supply chain, and enterprise asset management (EAM) systems is essential to keep data in sync and prevent handoff gaps. Often, FSM also connects to IoT sensors that flag anomalies or performance drift, enabling proactive interventions before failures occur.

How FSM Has Evolved

If you can believe it, field service once depended on paper forms, whiteboards, and phone or radio calls. That manual model made it difficult (sometimes impossible) to see technician status, track parts accurately, or consistently meet response times and first-time fix targets. As mobile devices, GPS, and cloud platforms matured, FSM shifted toward digital scheduling, route optimization, and electronic data capture. Today, intelligent scheduling engines, predictive analytics, and connected assets help organizations anticipate demand, allocate resources precisely, and deliver consistent service experiences across regions and teams that offer competitive differentiation and build brand loyalty.

For examples and perspectives on this evolution, explore articles and podcasts at Future of Field Service, such as How Field Service Management Has Evolved & What Comes Next.

Why Field Service Management Matters

Service has evolved and so too has modern FSM. It is more than dispatch; it is a lever for efficiency, responsiveness, and profitable growth. Organizations that standardize processes and deploy the right technology typically see higher technician productivity, faster response times, better on-time arrival rates, stronger first-time fix performance, and improved customer satisfaction—while reducing cost-to-serve.

FSM operationalizes these gains at scale through intelligent planning, guided execution, and accurate data capture. Moreover, it positions service organizations to keep pace with customer expectations, deliver more sophisticated service offerings, and recognize the full potential of what service can mean to the business in terms of revenue and profits.

Operational Efficiency and Productivity

Automated scheduling reduces manual effort and optimizes routes to cut travel time and fuel usage.
Skill- and parts-aware dispatch boosts first-time fix rates by ensuring technicians arrive prepared.
Digital workflows and checklists reduce errors and rework, and ensure regulatory and quality steps are followed.
Real-time coordination keeps dispatch, technicians, and customers aligned as conditions change.

Customer Experience and Retention

Accurate arrival windows, proactive notifications, and clear digital reports create transparency and trust.
Faster mean time to repair (MTTR) and consistent service quality support SLA attainment and loyalty.
Higher first-time fix rates reduce disruption for customers and cut the cost of return visits.

Financial Impact and Resource Optimization

Fewer truck rolls and optimized routes lower operating expenses.
Better inventory control reduces emergency orders, write-offs, and carrying costs.
Automated time capture and invoicing accelerate cash collection and reduce leakage.
Data-driven planning balances capacity with demand to scale without a proportional cost increase.

To learn how peers translate efficiency into competitive advantage, see community-driven insights such as Turning Field Data into Service Insight and A Field Service Home Run.

Common Challenges in Field Service Management

Despite the promise, FSM can be difficult to execute consistently across teams, regions, and partners. Many organizations grapple with fragmented tools, inconsistent data, and manual processes that introduce delays and blind spots. These are not only process issues—they are often symptoms of incomplete adoption of field services management software and unclear operating models.

People and Process Friction

Limited visibility into technician availability, skills, and certifications undermines scheduling decisions.
Balancing planned preventive work with reactive break-fix demands strains capacity and SLAs.
Coordinating subcontractors to the same standards as internal teams requires clear processes and shared KPIs.

Technology and Data Gaps

Paper forms or legacy systems impede real-time status updates and slow decision-making.
Disconnected ERP, CRM, inventory, and FSM systems cause parts inaccuracies and billing delays.
Lack of analytics makes it hard to pinpoint root causes of repeat visits or poor utilization.

Overcoming Obstacles

Define a clear operating model with standardized workflows and data governance.
Set KPIs such as first-time fix rate, on-time arrival, MTTR, utilization, and customer satisfaction to guide improvement.
Choose an FSM platform that integrates with core enterprise systems and supports mobile-first, offline-capable work.
Pilot in a focused region or service line, incorporate technician feedback, and iterate before scaling.
Invest in change management: role-based training, clear communications, and leadership sponsorship.

For pragmatic advice on change leadership and adoption, consider the article Leading Through Service Transformation or this podcast about A Tactic That Improves Change Management.

How Field Service Management Works Day to Day

FSM orchestrates a chain of events that starts with demand signals and ends with proven outcomes and financial closure. While every organization tailors the flow to its needs, most follow a common pattern. Under the hood, what is field service management software doing? It structures each step, enforces standards, and provides the data needed to make better decisions tomorrow than you did today.

Typical FSM Workflow

Service request intake: Requests arrive via phone, portal, email, connected devices, or CRM cases.
Triage and prioritization: Urgency, impact, SLAs, and entitlements determine response and coverage.
Work order creation: Scope, skills, parts, safety requirements, and site constraints are captured.
Scheduling and dispatch: Optimization engines assign the best-qualified technician and route.
On-site execution: The technician diagnoses, repairs, calibrates, or installs, following digital SOPs and checklists.
Completion and sign-off: Outcomes are recorded with photos and signatures, and warranties or SLAs are validated.
Invoicing and follow-up: Time and materials flow to billing; feedback, parts reconciliation, and knowledge updates close the loop.

Technology That Enables the Flow

Intelligent scheduling: Weighs skills, travel, SLAs, parts readiness, and customer preferences to optimize assignments and arrival windows.
Mobile apps: Provide job details, asset history, guided workflows, offline access, and collaboration with remote experts.
GPS and telematics: Support live tracking, route optimization, driver safety, and time-on-site verification.
Barcode/RFID scanning: Ensures accurate parts consumption and inventory updates.
IoT and analytics: Trigger predictive work orders and surface KPIs in real time to drive continuous improvement.

Integration Across the Business

ERP/supply chain: Parts availability, replenishment, and cost tracking.
CRM: Customer context, entitlements, and case histories.
HR and learning: Certifications, training records, and compliance enforcement.
EAM and project systems: Coordinating large installs, overhauls, and lifecycle maintenance.

For deeper dives on operational design, explore resources such as How Lean Methodology Impacts Service Transformation.

Implementing Field Service Management: A Practical Guide

Wherever you are on your FSM journey, success hinges on translating business goals into an operating model that your people and technology can execute consistently. The following phased approach helps manage risk and build momentum. Leaders benefit from a structured path that aligns strategy with action and ensures field services management software actually delivers on its promise.

1) Assess and Align

Baseline performance: Evaluate service demand patterns, response times, travel, first-time fix rates, utilization, and SLA performance.
Map systems: Understand current tools, data sources, integrations, and pain points across service, supply chain, finance, IT, and customer support.
Clarify objectives: Define measurable goals such as reducing MTTR, improving on-time arrival, increasing preventive maintenance, or accelerating cash collection.
Engage stakeholders: Align leadership and cross-functional teams on scope, priorities, and success criteria.

2) Design the Target Operating Model

Standardize workflows: Define processes for intake, triage, scheduling, parts, on-site execution, safety, documentation, and closeout.
Establish data standards: Create a common taxonomy for assets, parts, skills, service types, and locations.
Set KPIs and benchmarks: Select metric definitions and targets; ensure reporting can slice performance by region, team, and customer.
Plan change management: Outline training, communications, incentives, and field engagement to drive adoption.

3) Select the Right FSM Platform

Core capabilities: Intelligent scheduling, mobile apps with offline support, configurable workflows and checklists, parts control, asset and installed base management, contract and warranty handling, quoting and invoicing.
Integration readiness: Robust APIs and connectors for ERP, CRM, EAM, HR, and IoT platforms.
Usability and security: Intuitive interfaces for dispatchers and technicians, role-based access, and compliance features.
Scale and analytics: Support for multiple regions and languages, plus operational and customer-facing reporting.
Total cost of ownership: Evaluate licensing, implementation and integration costs, data migration, devices, training, and ongoing support.

4) Implement in Phases

Pilot: Start with a focused region or service line to validate workflows, data models, and scheduling rules.
Refine: Incorporate technician and dispatcher feedback to tune configuration and training.
Scale: Expand to additional regions, business units, or service types with a repeatable playbook.
Optimize: Layer on predictive maintenance, contractor management, and advanced analytics as adoption matures.

5) Enable the Workforce

Role-based training: Provide scenario-based learning for dispatchers, technicians, planners, and managers.
Modern devices: Equip field teams with reliable, ruggedized devices and connectivity options.
Support channels: Offer knowledge bases, in-app guidance, and remote expert assistance.
Continuous feedback: Use ride-alongs, retrospectives, and performance dashboards to spot gaps and celebrate wins.

Implementation Checklist

For lived experiences and tactical advice on implementation, check out resources such as Success Factors for Complex Service and Building a Service Business Case That Sticks.

Measuring Success: Field Service KPIs That Matter

Clear metrics keep teams focused and make it easier to identify where to invest. The most effective FSM programs measure a blend of productivity, customer experience, and financial outcomes. Pairing these measures with field services management software makes performance transparent and improvement repeatable.

First-time fix rate: Percentage of jobs resolved without a return visit. Indicates planning quality, parts readiness, and technician enablement.
On-time arrival rate: Percentage of appointments met within the promised window. Reflects scheduling accuracy and route efficiency.
Mean time to repair (MTTR): Average time from arrival to resolution. Tracks diagnostic efficiency and process friction.
Technician utilization: Productive time as a share of total hours. Highlights scheduling and travel optimization opportunities.
Service level attainment: Adherence to response and resolution SLAs, often by customer tier.
Work order cycle time: Time from request to closure, including handoffs and billing.
Parts usage accuracy: Alignment of planned versus consumed parts, and rate of returns.
Return visits and callbacks: Frequency of repeat work on the same issue within a defined period.
Customer satisfaction (CSAT) and NPS: Signal experience quality and loyalty.
Revenue and margin per job: Links operational performance to financial outcomes.

Use a balanced scorecard and review trends by region, customer, product line, and technician cohort. Combine quantitative KPIs with qualitative feedback from the field and customers to surface root causes and drive targeted improvements. Field service management software supports this rigor by standardizing data capture and surfacing insights in near real time.

For inspiration on assessing KPIs and measuring success, see Measuring What Matters in Service and Don’t Ignore the Green KPIs.

Working With Contractors and Partners

Most service organizations augment internal capacity with certified contractors, especially for seasonal surges, specialized skills, or geographic coverage. To maintain quality and protect the brand, FSM must extend governance and workflows to external partners. This is where field service management software can provide consistent standards and shared visibility across a mixed workforce.

Unified platform: Give contractors controlled access to scheduling, work orders, and documentation.
Shared standards: Apply the same checklists, safety gates, photo evidence, and sign-off requirements.
Credentialing: Validate certifications, training, and insurance before assignment and on a recurring basis.
Performance visibility: Track contractor KPIs alongside internal teams; use scorecards for continuous improvement.
Equitable routing: Factor contractor capacity and SLAs into the scheduling engine to meet commitments at lowest cost.

Explore best practices in articles like A Winning Mindset Around Independent Service Contractors and Partner Ecosystems in Service.

Future Trends in Field Service Management

Emerging technologies and shifting customer expectations are pushing field operations from reactive break-fix to proactive, outcome-oriented service. The most significant advances are coming from automation, AI, and connectivity. As you evaluate how field service management software will change next, focus on how these tools reshape workflows and decision-making rather than chasing features.

Automation and AI at the Core

AI-driven scheduling: Optimization engines weigh skills, travel, SLAs, parts, and customer preferences to improve on-time arrival and reduce costs.
Predictive service: Machine learning models, informed by IoT feeds and historical outcomes, forecast failures and recommend preemptive interventions.
Natural language interfaces: Conversational tools accelerate request intake and give technicians voice access to knowledge and checklists.

Extended Reality and Digital Twins

Augmented reality: Guided workflows and remote expert assistance help resolve complex issues faster, enabling newer technicians to perform advanced tasks under supervision.
Digital twins: Virtual replicas of assets allow teams to simulate repairs, plan interventions, and anticipate impacts before rolling a truck.
Computer vision: Automates routine inspections and quality checks using photos and video, improving consistency and speed.

Connectivity and Collaboration

5G and edge computing: Support richer data transfer—including live video—from remote locations and bandwidth-constrained sites.
Closed-loop service: IoT signals create work orders automatically; FSM orchestrates response; data flows back to design and maintenance strategies.

Business Model Shifts

Outcome-based contracts: Service commitments tied to uptime, throughput, or energy efficiency encourage proactive maintenance and continuous monitoring.
Sustainability metrics: Fewer truck rolls, optimized routing, and circular parts management become standard measures of performance.
Dynamic workforce models: Blended internal and contractor teams operate under unified governance and shared KPIs.

For forward-looking discussions, see Optimization Vs. Amplification and AI Isn’t A Strategy.

Building the Business Case for FSM Modernization

Investing in FSM pays back through cost savings, productivity gains, and stronger customer retention. A compelling business case quantifies improvements and aligns them to strategic priorities. When evaluating options, tie capabilities to specific KPIs and clear operational outcomes.

Quantify the Opportunity

Travel and routing: Estimate reduced miles and time per job; translate into fuel and labor savings.
First-time fix: Model the impact of increasing first-time fix on return visits, parts usage, and customer satisfaction.
Inventory: Project lower emergency orders, improved turns, and reduced write-offs from enhanced visibility.
Cash cycle: Calculate faster invoice creation and days sales outstanding (DSO) reduction from automated capture.
Capacity: Show how utilization improvements enable more jobs per day without additional headcount.

Map Costs and Risks

Software: Licensing or subscription fees and optional modules.
Implementation: Configuration, integrations, data cleansing, and migration.
Enablement: Devices, training, and change management.
Ongoing: Support, enhancements, and continuous improvement.

Tell the Story

Link metrics to business outcomes: Tie KPIs to revenue protection, customer retention, and service profitability.
Highlight compliance and risk reduction: Emphasize safety, audit readiness, and warranty protection.
Share peer benchmarks and case studies: Use credible, industry-relevant examples to build confidence.

For help framing value, explore Unlocking Service Growth and AI’s Impact on Service Value.

FSM FAQs

Here are some frequently asked questions about field service management:

How does FSM differ from Customer Relationship Management (CRM)?

CRM manages customer interactions, sales, marketing, and support cases. FSM executes the operational delivery of field work. While CRM tracks accounts, contacts, and service cases, FSM handles technician scheduling, work orders, parts, on-site workflows, and service completion. Integrated together, CRM provides customer context and entitlements, and FSM orchestrates the work in the field to fulfill those commitments.

Who uses Field Service Management?

Any organization that installs, maintains, repairs, or inspects equipment or facilities at customer locations or distributed sites. That includes utilities, telecom providers, manufacturers and OEMs, medical device companies, HVAC and energy services, building and facilities management, oil and gas, transportation, and public sector field operations.

What are the key metrics in FSM?

Common KPIs include first-time fix rate, technician utilization, on-time arrival rate, mean time to repair (MTTR), service level attainment, work order cycle time, parts usage accuracy, return visits, customer satisfaction (CSAT), net promoter score (NPS), and revenue and margin per job. Monitoring these metrics helps teams identify bottlenecks and target improvements.

Can small and mid-sized businesses benefit from FSM?

Yes. Cloud-based FSM solutions make advanced capabilities available without heavy infrastructure. SMBs benefit from optimized scheduling, digital work orders, mobile apps, and faster invoicing, which lead to more jobs per day, better cash flow, and improved customer experience. As needs grow, these platforms scale to support more users, regions, and features.

How does FSM support compliance and safety?

FSM platforms enforce standardized procedures with digital checklists, mandatory fields, and approval workflows. They can require up-to-date certifications, capture time- and location-stamped signatures, and attach photos for proof of work. Integration with environment, health, and safety systems and training records helps ensure only qualified personnel perform specific tasks and that safety steps are followed consistently.

What is the relationship between FSM and IoT?

IoT sensors provide real-time asset performance data and can trigger service events automatically when thresholds are exceeded. FSM uses these signals to create work orders, schedule the right technician, pre-stage parts, and provide guidance to the field. Over time, the combined data improves failure predictions, maintenance schedules, and equipment design.

How long does it take to implement an FSM solution?

Timelines depend on scope and complexity. A focused deployment for one region with standard workflows may take a few weeks to a few months, including configuration, integrations, data migration, training, and a pilot. Enterprise-wide programs with complex integrations and global processes can take several months to a year or more. Phased rollouts and strong change management accelerate adoption and value capture.

What is the total cost of ownership for FSM?

Total cost of ownership includes software subscriptions, implementation services, integrations, data migration, training, devices for technicians, and ongoing support. Savings typically come from reduced travel and fuel, fewer repeat visits, improved parts management, lower administrative overhead, and faster cash collection. A robust business case maps costs and benefits to specific KPIs and targets.

How do I choose between best-of-breed FSM and an integrated suite?

Consider the complexity of your service mix, the maturity of existing systems, and integration requirements. Best-of-breed tools may offer deeper capabilities for scheduling and mobility, while integrated suites can simplify data flows and governance. Prioritize fit for your operating model, integration readiness, usability for the field, and total cost of ownership.

What are first steps if we are still using paper and spreadsheets?

Start by standardizing basic workflows and data definitions, then pilot a mobile-first, cloud-based FSM for a specific region or team. Focus initial value on scheduling, route optimization, and digital work orders. Use early results to refine processes, build the business case, and expand.

For additional FAQs and practitioner tips, explore the community at Future of Field Service.

Putting It All Together

Field Service Management brings discipline and data to the edge of your business, where technicians represent your brand and outcomes determine loyalty. By aligning operating models with intelligent scheduling, mobile workflows, and integrated systems, organizations can reduce cost-to-serve, increase productivity, and elevate customer experience—while building a foundation for proactive, outcome-based service. For leaders navigating service transformation, the takeaway is straightforward: tools matter, but results come from how you design and run the operation every day.

The path forward is iterative: define standards, digitize workflows, connect data, empower the field, and measure relentlessly. As AI and IoT expand what is possible, the organizations that will excel are those that treat FSM as a strategic capability—one that coordinates people, processes, and technology to deliver results every day. Choosing the right field service management software is part of that journey, but so is governance, change leadership, and a culture that values evidence over assumption.

By Sarah Nicastro, Creator and Editor in Chief, Future of Field Service

There’s no shortage of urgency around AI right now.

It’s featured (heavily) at every conference, and plenty of leaders have shared with me that every boardroom discussion seems to circle back to the same question: “What are we doing with AI?” In fact, I’ve heard more than one time tales of being directed along the lines of, “You have $X to invest, go do AI.”

While we all can (hopefully) agree that not only is that approach foolish, it’s also just not how AI works – the pressure is nonetheless real. Where does this leave service leaders? Caught between top-level pressure to invest and bottom-up resistance to change trying to figure out exactly how and where AI does fit.

On last week’s podcast, Jayda Nance, AI Product Owner at IBM, and I had an interesting and enlightening conversation around this topic. We started with a hard truth that many seem to want to avoid. As Jayda put it simply, “AI isn’t a magic wand.”

Expecting it to be is where, in many instances, things start to go wrong. AI is important, absolutely – but it’s not a magic want, and it’s not a strategy; it’s a tool. Keeping that perspective is very important, and Jayda shared with us what she’s learned in her role that’s proven helpful in determining where AI’s true value in service lies.

The Danger of “Temporary Energy”

To start, Jayda described something I see playing out across the service landscape: organizations chasing AI because of that pressure they feel. She described this as “temporary energy” and explained its danger.

Temporary energy, as she describes it, is allowing yourself to be driven by that pressure to keep up. To be seen as innovative. To not fall behind.

But the risk of moving this way is that speed begins to replace direction. When that happens, organizations invest time, budget, and resources into initiatives that may look promising on the surface but ultimately fail to address any meaningful business problem.

In other words, you end up with solutions in search of a problem. The more sustainable path, as Jayda emphasizes, is far less glamorous: slow down long enough to deeply understand what problems you’re actually trying to solve.

Problem Determination Is a Discipline (Not a Step)

We often talk about “identifying the problem” as if it’s a box to check before moving on to the real work. But what Jayda describes is something much more rigorous. Rather than a step in the process, problem determination is a discipline.

She encourages what she calls a “reporter mindset”—immersing yourself in the problem the way a journalist would, observing it from every angle, understanding the context, and resisting the urge to jump to conclusions.

Because the reality is, most organizations won’t misapply AI because they lack capability; they’ll misapply it because they haven’t fully understood the problem. Without that clarity, even the most sophisticated technology will fall short of delivering value.

Sometimes the Answer Isn’t AI at All

This is where the conversation gets particularly interesting—and, for those under pressure to apply AI, perhaps a bit uncomfortable.

Because when you truly break down a problem, you may find that the solution has nothing to do with AI. It might be a broken process. Poor data quality. Unclear ownership. Overloaded teams.

Jayda shared an example of slow service renewals as something that might easily be flagged as an opportunity for AI. But when you peel back the layers, the root cause could just as easily be inefficiencies in workflow or bottlenecks in approvals. And if that’s the case, layering AI on top doesn’t solve the problem; it complicates it. Organizations end up over-engineering solutions instead of addressing fundamentals.

Another area where Jayda brings important clarity is in distinguishing between automation and AI. These terms are often used interchangeably (even by yours truly!), but she explains that they shouldn’t be.

She describes that automation is about consistency and scale. It excels at executing repeatable, rule-based tasks. AI, on the other hand, is about learning, adapting, and making decisions in more complex or variable environments. There can be instances where they are used together, but sometimes the terms are used synonymously without clarity.

The goal should be to ensure that within your organization you are clear on how each are defined and what solution, or set of solutions, best fits each problem you’ve defined. While AI’s capabilities are exciting, applying them to scenarios that don’t demand that level of intelligence adds complexity and cost without adding value.

When you match the tool to the problem—rather than the other way around—you avoid unnecessary complexity and accelerate time to value.

A Simple Framework That Brings Clarity

One of the most practical insights Jayda shared is a structured approach to process mapping. She breaks down workflows into four layers:

Inputs
Rules
Actions
Outputs

While simple, the discipline of actually mapping these layers forces a level of clarity that many organizations skip. This framework helps ensure you consider:

Where is the breakdown happening?
Is it in the data coming in?
The logic being applied?
The actions being taken?
Or the outcomes being delivered?

Without this level of understanding, decisions about automation or AI are left to guesswork or gut feel. With it, they become intentional.

Why Pilots Matter, Arguably More Than Your Big Plans

When organizations succumb to the pressure to keep pace, there’s a tendency to feel you need to think (and act) big. This can result in designing large-scale transformations or launching expansive MVPs that take months to develop.

While there’s nothing wrong with having a vision in mind, Jayda advocates for taking action in a way that is much more focused: pilots. Not as a stepping stone, but as a strategy. A pilot isn’t about building something impressive; it’s about proving something valuable. It’s taking a small, defined use case—say, a handful of service requests within a single team—and testing whether an approach actually works.

This does two critical things:

It creates tangible evidence to justify further investment.
It builds trust—both with leadership and with the frontline teams who will ultimately need to adopt the change.

And that second point is often overlooked. Because in service organizations especially, transformation doesn’t succeed on strategy alone, it requires belief and buy-in.

The Cultural Side of AI Adoption

Which brings us to what may be the most underestimated aspect of achieving success with AI: mindset.

Jayda is very clear on this—technical capability is not the primary barrier to AI adoption. Mindset is.

The hesitation, the skepticism, the fear of job displacement—these are real and valid concerns within service organizations. But they can also become self-imposed limitations if not addressed.

While we’ve talked about those who are rushing due to the pressure, the flip side of that is feeling frozen. Whether due to fear, overwhelm, or other circumstances, this is equally risky.

What Jayda shares, and what I’ve observed as well, is that those who approach AI with curiosity are the ones who unlock its potential. Curiosity brings with it a power of neutrality that insulates the business from the pressure that causes rushed investments or the hesitancy that keeps organizations stuck.

The Bigger Question

Stepping back, what this conversation really underscores is that AI success isn’t about how quickly you adopt the technology. It’s about how intentionally you apply it.

If you want to assess how intentional you’re being, reflect honestly on the following:

Are you chasing momentum, or building it?
Are you solving real problems, or reacting to external pressure?
Are you designing for value, or hoping to discover it along the way?

Because the organizations that get this right won’t be the ones that moved fastest. They’ll be the ones that thought most clearly about what they were trying to achieve and built from there.

By Sarah Nicastro, Creator and Editor in Chief, Future of Field Service

There are certain environments where “good enough” simply isn’t good enough.

Fenway Park is one of them.

When you think about a venue like Fenway – its history, its visibility, the sheer volume of people it hosts – you begin to understand that service delivery in that context isn’t just about uptime. It’s about precision, orchestration, and an almost obsessive level of diligence.

In last week’s podcast conversation with Greg Parker, Vice President of America’s Life Cycle Solutions at Johnson Controls, recorded on-site at Field Service Next West, He shared a bit about what it actually takes to deliver on that level of expectation. And a shocking statistic: how his team has achieved 95% remote resolution of issues.

What stood out to me wasn’t just that number, though. It was the execution of what has to fundamentally change from traditional break-fix service to make a number like that possible.

One of the most striking points Greg shared is that, on average, organizations don’t even have visibility into roughly 25% of their assets.

Think about that for a moment. Service leaders are being asked to guarantee outcomes, reduce costs, and elevate customer experience – all impossible feats with a blind spot that large.

This is the core flaw of reactive service models: you can’t manage what you can’t see – so you’re stuck with sending a technician to diagnose the issue. At Fenway, that type of process simply wasn’t viable. Shifting to a proactive model required Johnson Controls to establish real-time visibility into every asset – but that was just the start. Here are five lessons Greg shared from the company’s work with Fenway.

#1: Remote Resolution Isn’t a Technology Story – It’s an Orchestration Story

It would be easy to attribute a 95% remote resolution rate to technology alone, but that would miss the point – and do a disservice to the effort involved.

What Greg described is really about orchestration – bringing together connected assets, centralized command, field operations, and intelligent data in a way that works seamlessly.

At the center of this is a managed service model supported by a centralized team that monitors and manages asset performance in real time. When something deviates from expected behavior, alerts are generated, prioritized, and acted upon – often without ever dispatching a technician.

And here’s what they found: many of those issues are simple. A connectivity glitch. A configuration issue. A reboot.

In a reactive model, those same issues would still trigger a truck roll – adding cost, delaying resolution, and frustrating the customer.

The difference isn’t in the complexity of work changing, but what’s mde possible with increased awareness.

#2: AI Doesn’t Replace Humans, It Empowers Them

Another important nuance in the approach Greg described is how AI is being used.

There’s a lot of discussion today about AI-powered automation replacing human decision-making. But in high-stakes environments, including stadium security, that’s not where customers (or providers) are comfortable yet (and maybe ever).

Instead, Johnson Controls has taken what Greg calls a “human in the middle” approach.

AI is used to curate, prioritize, and contextualize data – essentially teeing up the right information so that human operators can make faster, better decisions.

This does two critical things:

It allows a relatively small team to scale without linear headcount growth
It reduces both false alarms and human error by improving the quality of decision-making

In other words, AI isn’t removing humans from the equation; it’s making them exponentially more effective.

And that’s a far more practical (and powerful) application than many of the headlines suggest.

#3: You Can’t Deliver Outcomes Without Designing for Them

One of the most important lessons from this transformation is that you don’t stumble into outcome-based service – you have to design for it.

Greg described the need to map managed services end-to-end, from order intake through execution to billing. Every step in that value stream must be aligned, because gaps – no matter how small – compound quickly in execution.

In fact, some of the most critical issues his team uncovered before launch were what he described as “minor bugs.” The kind of things that might be overlooked in a traditional rollout, but that would ultimately prevent the organization from delivering on its commitments at scale.

This is where many service transformations fall short: Organizations underestimate the operational rigor required to deliver consistently against new service models.

#4: The Service Contract Is Changing, Whether You’re Ready or Not

Perhaps the most significant implication of everything Greg shared is what it means for the future of service agreements.

When you have the visibility and capability to proactively manage assets, the entire basis of the customer relationship changes.

Customers are no longer willing to pay for your inefficiency – for truck rolls that may or may not resolve the issue, for downtime caused by a lack of insight, or for reactive service that could have been prevented.

Instead, they’re expecting outcomes. And increasingly, they’re expecting those outcomes to be guaranteed.

Greg put it simply: connected assets and the data they provide are becoming table stakes. Not a differentiator; not an add-on. A requirement.

That raises an important question for service leaders: Are your capabilities evolving at the same pace as your customers’ expectations?

#5: Not All Service Environments Are Created Equal

One final point that’s worth emphasizing is the level of diligence required in high-density, high-visibility environments like Fenway.

Serving a stadium with 80,000 people in one place isn’t just a scaled-up version of another vertical, it’s fundamentally different. The tolerance for failure is lower. The consequences are higher. And the margin for error is virtually nonexistent.

What that demands is a level of planning, testing, and execution that goes beyond standard approaches. It’s a reminder that as service organizations scale, they also need to consider customer segmentation – recognizing that different environments require different levels of rigor.

Stepping back, what this story really illustrates is the broader shift happening across service industries and customer segments:

From reactive to proactive
From visibility gaps to data-driven insight
From labor-dependent scaling to technology-enabled productivity
From transactional service to outcome-based partnerships

The 95% remote resolution rate is impressive, but it’s ultimately a byproduct of these deeper changes. And while that specific target may not be attainable in every customer example, the shifts Greg retold are valuable across the board.

For organizations that haven’t yet embraced how service is evolving, the gap isn’t just operational; it’s strategic. The expectation for what service should deliver has already moved forward, and companies like Johnson Controls are doing the work to keep pace – those who don’t (or won’t) risk irrelevance in the near future.

By Sarah Nicastro, Creator and Editor in Chief, Future of Field Service

We’ve all heard of Throwback Thursday, but how about a Throwback Monday? If you’re reading this the day it was published, that’s exactly what it is!

At Field Service Next West in San Diego earlier this month, there were a handful of themes being discussed that immediately brought to mind some really great former podcast discussions. Whether you attended the event or not, chances are these same themes are at the forefront of your mind – so I thought it would be helpful to share those discussions.

Here are five themes that surfaced at the event and the relevant content those on-site discussions reminded me of. Maybe you missed these the first time – if so, they’re well worth digging into. Maybe you did catch them when they were first shared – even so, you might pick up new nugget of wisdom on the revisit.

Theme #1: Technology Choice Matters Now More than Ever

In his day one keynote, Brad Haberle of Siemens drove home the importance of a capable, company-wide digital foundation. This sentiment was echoed throughout the week by leaders who underscored how keeping pace with today’s service demands isn’t possible without digital sophistication, how significant the cost of being a digital laggard is, and how AI is crucial to scaling service today and into the future.

Of course, a key aspect of the technology discussion is its impact on the workforce and the criticality of strong change management. All of this brought to mind time and time again one of my early podcast discussions with Greg Lush, where he spoke about the concept of digital reputation. With each technology choice you make, you are either bolstering or tarnishing your digital reputation – and that doesn’t just affect the current project but has a lasting impact. Have a listen here.

As it relates to field service management specifically, this recent conversation with David Alazraki of PWC offers an examination of what’s evolved, why many organizations struggle to navigate today’s landscape, and what leaders should focus on next.

Theme #2: The Potential for Service Growth

Building upon theme #1, leaders discussed what becomes possible in terms of service growth as new digital capabilities are adopted. While everyone agrees there’s no substitute in service for the people that make it special, the expansion of digital abilities allows for proactive and remote layers that enable a scale that’s newly attainable.

Sasha Ilyukin of Tetra Pak was on one panel related to this topic, and he recently joined us to share not only a bit about Tetra Pak’s services growth journey but relate it to the research we conducted with Simon-Kucher. He also mentioned the work Tetra Pak has done with the Advanced Service Group, which reminded me of some great podcast discussions with members of their organization. This episode with Dr. Kawal Kapoor focuses on the state of advanced services and the potential that still exists.

Theme #3: Speed Isn’t Everything

While service leaders universally feel pressure to keep pace with today’s rapid change, on a panel about streamlining service, Jessica Murillo of IBM spoke about the value of slowing down to go fast. Her point was that while there’s a need to move with intention, racing is far different and can cause detriment. Sometimes, it can be advantageous to let the foot off of the gas – or even press pause – rather than barreling ahead.

This discussion immediately reminded me of the episode on this topic with Eduardo Bonefont who, at the time, was with BD. He shared the details of a global transformation where pressing pause had a very positive impact on the overall outcome. Have a listen here.

Theme #4: AI Has Already Disrupted Service Significantly – And There’s More to Come

While disruption can take on a negative connotation, I don’t necessarily mean it to – I mean more so that I feel AI has already altered the trajectory of service. Event MC Sean Albertson spoke in his event kickoff about the fact that “AI hasn’t created a problem, but it’s highlighting where all the weak points are.”

I’m sure to some organizations this feels like a problem, but it’s more of a reckoning – a new reality in which it’s impossible to hide inefficiencies or fake effectiveness. As Sean stated, today’s reality is one where time is compressed, volume has increased, expectations have multiplied, and buffers have disappeared.

In a webinar earlier this year, Roy Dockery of TSIA articulated this shift very well – after listening, I wrote this article with my thoughts, including how Roy emphasizes the need of service organizations to adapt or be left behind. In this article, I expand on how the future of field service hinges on an organization’s ability to distinguish between optimization and amplification.

Theme #5: The Future of Talent Gets Ample Attention, But Deserves More Action

One of the major throughlines of the event was the looming exodus of workers across industries, with not nearly enough talent coming in to replace them. You’d have to be living under a rock, of course, to be unaware of this reality – and that’s part of the point. The topic gets plenty of airtime but not nearly enough focus in the form of funds, time, and real change.

Megan Schlam of Schneider Electric gave a great keynote on day three about how her company is approaching this reality, with an honest view of what’s working well and what hasn’t. Employer brand consultant Marta Riggins shared some clear, actionable insight alongside a few really compelling, modern-day examples of companies taking the lead.

These discussions reminded me of many a podcast, but the two that bubbled to the surface were this episode featuring David Sarazen of Multivac, who shares how the company has cut technician turnover in half. As well as this episode with Michael Potts, who at the time was with ACCO, who spoke about the strategic big bets the company is taking to put it a step ahead in the quest for talent.

If you missed it last week, you can also listen to my event recap from Field Service Next West in this episode.

By Sarah Nicastro, Creator and Editor in Chief, Future of Field Service

In today’s headlines, you won’t see as many mentions of change management as you do AI – it isn’t as buzzworthy or as “sexy.” But when it comes to service transformation, all roads truly lead back to change management. I’ve spent almost two decades speaking with service leaders about what they’re working toward and struggling with and change management has been the most significant through line.

When we consider what the future of service holds – the evolution already well underway – it’s clear that being adept at change is crucial. So why do so many organizations continue to flounder in their efforts?

Field Service Management: Progress Creates Complexity

Roughly five to six years ago, field service management (FSM) entered a new era – one fueled by increased investment, vendor consolidation, and rapid innovation.

The result? An explosion of choice.

“There’s really no one solution that is widely implemented as the standard anymore,” David explains. “We’re seeing a highly fragmented industry – lots of vendors, each optimized for different slices of the problem.”

On one hand, this is a sign of progress. The capabilities available today are far beyond what organizations could imagine a decade ago. On the other hand, it introduces a new challenge: decision paralysis.

Many organizations are now asking the same question: Where do we go from here?

The Paradox: Fragmentation vs. Consolidation

David shared that what makes today’s FSM landscape especially complex are two seemingly opposing trends happening at once:

Fragmentation: A growing number of specialized solutions
Consolidation: A push toward unified, end-to-end platforms

While this sounds like a contradiction, it’s representative of a transition.

Organizations are moving away from siloed systems (ERP here, FSM there, asset management somewhere else) toward what David describes as a “connected platform vision” – one that links work, assets, customers, and field execution seamlessly.

As David puts it: “On one hand, there are so many options. On the other, the industry is moving toward consolidation – bringing everything into one platform to simplify and connect the data. The key message that we share with our clients is that it’s not just about field service management. It’s not just about scheduling or collecting data. It’s about connecting your field to your work, to the assets, to the customers.”

And that shift is critical. Because field service doesn’t operate in isolation.

David emphasized in our conversation the importance of understanding that FSM is not a standalone function; it’s the downstream consumer of upstream decisions.

He describes this through a simple but powerful framework:

Initiate
Plan
Schedule
Execute
Complete
Analyze

FSM sits squarely in the middle.

“The way you schedule work is heavily influenced by how that work was initiated and planned,” he explains. “And that impacts everything downstream, from execution to data capture to outcomes.”

As he explains, not understanding the interconnectedness of field service is where many organizations go wrong. They try to fix field service challenges within field service – without addressing the upstream processes, data quality, or organizational alignment that ultimately determine success.

The ROI of Change Management

It’s a great question – one I’ll get to in just a moment. But before we talk about the why, and explore the how, let’s pause for just a moment to think about the massive potential here. What if, instead of chasing the next trend or adopting the latest feature, we focused instead on getting really good at something that’s held businesses back for a long, long time? I’d argue that cracking the code on effective change management is the most advantageous investment an organization could make.

Companies struggle with change management because it is complex. They invest time, money and resources into the process of managing change and then grow frustrated that the process hasn’t proven “successful.” That’s because change is a people issue that requires people skills. The term itself – ‘change management’ – is representative of the issue; management implies oversight or control when what’s really needed here is leadership.

It’s fine to have a change management process – a programmatic approach to apply to a project. But that will never cut it in today’s fast-paced and dynamic environment. What’s lacking is strong leadership – psychological safety, trust, empathy, and follow-through. Which leads us back to the complexity, because these characteristics require authenticity, care, and they take time – things that are often at odds with the pressure of project timelines, budgets, and expectations.

Acceptance Vs. Compliance

Organizations flounder in their efforts because they’re trying to circumvent humanity; they want to find the shortcut to adoption, so rather than work for acceptance they settle for compliance and then wonder why engagement is low and turnover is high. It’s a tale as old as time, it seems, and the skeptic in me wonders if it’ll ever change.

But call me crazy, I feel there’s a shift underway – a tidal wave building of recognition that the old ways no longer work. And rather than keep applying the same old processes and hoping for a different outcome, perhaps greater success can be achieved by taking the road less traveled. By accepting that competitive advantage in today’s landscape might come from creating cultures where employees feel heard, valued, and appreciated. Where change is initiated in all levels of the organization, not forced from the top down.

One of the reasons I have hope that things could shift, that maybe just maybe I won’t be writing another article in ten years about how change management remains the number one struggle of service leaders I speak with, is the mindset I hear in the conversations I’m having with leaders who understand what’s required.

Service Leaders Share What Works

In our recently released Stand Out Service Trends 2026 report, our Stand Out 50 leaders weighed in on a variety of topics across the pillars of people, process, and technology. Participants acknowledged the challenge of managing change: 16% find managing change to be very challenging, 68% somewhat challenging, 10% not too challenging, and only 6% not challenging). But they also offered some insight into what they’ve found works well:

Don't dictate the change. Work with key contributors who learn and then understand the need for a given change. Collaboration is key
Engaging frontline employees in the development. We start with the why and the desired outcome and bring them in to help with developing the solutions
We’ve had a lot of success using the PROSCI method
Success stories are the best motivator
Saturation of information & reinforcement. Small team training across the field team to ensure more adoption
Centralized team with "change agents" in each function
Selling the why to the people that will be most impacted. Getting their buy-in if you can, then overcommunicating the changes while allowing for constructive feedback
Inclusion at an early stage
Plan and communicate with key people. Get engagement from influencers across all teams and turn them into evangelists
The message about our position, why we are where we are and what we are going to do about it comes from group management. The message is then repeated by local leaders via communication packs in order to maintain consistency. We then have continuous initiatives to ensure progress is maintained in the area of change
Demonstrating success from change to create a belief in the changes
Leading by example
Piloting and showing success stories

Perhaps even more powerful, the report illustrates the leaders’ understanding of how employee engagement is foundational to managing change. They share perspective on what characteristics are most important to the creation of a strong culture and what factors are crucial to employee engagement. For these insights and more, be sure to read the full report.

I’m co-hosting a webinar on Wednesday, April 15^th to discuss the findings of the Stand Out Service Trends 2026 report. I’ll be joined by Stand Out leader Clinten van der Merwe of TOMRA as well as Kriti Sharma, CEO of IFS Nexus Black. Register here to join us!

By Sarah Nicastro, Creator and Editor in Chief, Future of Field Service

Over the nearly two decades I’ve spent in the field service space, I’ve had a front-row seat to tremendous change. What began as a journey from manual to digital has evolved into something far more complex, and I believe far more consequential.

Today’s field service leaders are navigating an inflection point.

In a recent UNSCRIPTED podcast, I sat down with David Alazraki, Partner in PwC’s Field Service and Operations Practice, sure to reminisce a bit about our time in field service, but more importantly to talk about the innovation that’s gotten us to where we are today. What emerged during our discussion was more than reflection on technology evolution, but a more holistic sense of the mindset shift required for organizations that want to excel at what’s next.

Field Service Management: Progress Creates Complexity

oughly five to six years ago, field service management (FSM) entered a new era – one fueled by increased investment, vendor consolidation, and rapid innovation.

The result? An explosion of choice.

Many organizations are now asking the same question: Where do we go from here?

The Paradox: Fragmentation vs. Consolidation

David shared that what makes today’s FSM landscape especially complex are two seemingly opposing trends happening at once:

Fragmentation: A growing number of specialized solutions
Consolidation: A push toward unified, end-to-end platforms

While this sounds like a contradiction, it’s representative of a transition.

And that shift is critical. Because field service doesn’t operate in isolation.

David emphasized in our conversation the importance of understanding that FSM is not a standalone function; it’s the downstream consumer of upstream decisions.

He describes this through a simple but powerful framework:

Initiate
Plan
Schedule
Execute
Complete
Analyze

FSM sits squarely in the middle.

The Inflection Point: Beyond Operational Excellence

While that distinction has always been important for a successful service transformation, it’s crucial today because of how service has evolved.

Field service isn’t the silo it once was – it’s more interconnected than ever into various aspects of the business, and increasingly so.

David points to the impact field service has on a company’s brand: “Anything I want will come to my house in quick delivery within two days. For a service provider, the person in the field is the representative of your company. Whatever actions this person takes will determine if I, as a customer, will continue my engagement. Customer expectations impact the value we need to drive from field service management.”

This echoes the sentiment of my recent article discussing the inflection point service is at. Operational excellence used to be a competitive differentiator. Now, it’s a basic expectation.

Customers don’t see your internal complexity. They don’t care about your system constraints. They compare your service experience to the best experiences they have anywhere.

And that changes the game.

As the role of field service has expanded – from transactional, break-fix execution to a critical driver of customer experience, growth, and brand perception – the view of FSM has, too.

Modern FSM: Agility is a Must

To meet today’s needs, businesses must be agile. While until recent years heavily customized FSM was not only the norm but preferred by many, customizations today come at the cost of speed and flexibility.

Not only has technology improved, but today’s pace of change demands something different. That doesn’t mean customization is dead, but it does mean it must be far more intentional.

“We’re shifting away from the days of monolithic solutions because the pace of innovation is just too fast,” explains David. “You know the book ‘The Light and Fast Organization?’ That’s where we’re heading – full package solutions that are almost fully baked. You need to do some configurations, but you don’t need to heavily invest in those. Solutions that are lightweight, fast moving. We’re not there yet, but we’re heading there.”

For businesses struggling with the idea of what requires customization vs. where agility takes priority, and more, David introduces the concept of “key decisions”—moments in a transformation where multiple viable paths exist, each with trade-offs.

“There are these moments in the lifecycle of a transformation where you need to acknowledge you have to make a key decision,” says David. “It might be a key business decision, or it might be a key design decision, but it is important to pause and acknowledge that it is a key decision. A key decision typically has more than one good option, pros and cons, and there are no perfect solutions. If there are perfect solutions or a very clear path, then it's not a key decision.”

How AI Will Further Redefine FSM

FSM has evolved so significantly already, but AI holds the potential for organizations to truly reimagine what’s possible. The trick is expanding perspective beyond how AI can optimize existing environments to how it creates brand new potential.

“AI is not about more automation or headcount reduction,” David says. “It’s about resilience.”

Resilience in the face of:

Workforce shortages
Weather volatility
Increasing service expectations
Operational complexity

The biggest mistake organizations can make is viewing AI purely through the lens of efficiency. AI is not just about doing the same things faster or cheaper.

It’s about amplification:

Amplifying workforce capabilities
Amplifying decision-making
Amplifying customer outcomes
Amplifying what’s possible without adding headcount

And, as David points out, AI is helping bridge a long-standing gap:

“We spent years forcing structured data capture,” he explains. “Now AI can act as a bridge between unstructured and structured – making things simpler for the field.”

Final Thought: It’s Time to Rethink the Objective

If there’s one theme that ties all of this together, it’s that the goal is no longer to ‘transform’ field service operations, but to reimagine them.

We’ve moved beyond a world where optimizing individual components is enough. Today’s challenges – and opportunities – require a more holistic, connected, and forward-looking approach.

Or, as David’s perspective reinforces: Success isn’t about choosing the ‘perfect’ tool. It’s about making the right decisions, aligned to a clear vision, and building the resilience to adapt as that vision evolves.

By Sarah Nicastro, Creator and Editor in Chief, Future of Field Service

For years, service organizations have been focused on optimization: refining processes, improving efficiency, and squeezing incremental gains out of existing ways of working. It made sense – operational excellence was not only a worthy goal; it was a competitive differentiator.

But that reality has changed, and I fear many service organizations aren’t quite grasping yet how significantly.

Today, the operational excellence that once set companies apart is a foundational expectation. This new reality demands a fresh mindset – one that reaches much farther than optimization.

Service Optimization: Fine Goal, Detrimental End Game

Optimization is, by nature, inward-looking. It asks: “How can we do what we do today only better, faster, cheaper?”

This is a question that has driven meaningful progress across service organizations:

Improved first-time fix rates
Better spare parts management
More efficient scheduling and dispatch

The challenge isn’t that optimization doesn’t hold value, it’s that customers no longer reward these improvements the way they once did.

Why? Because they expect them.

The bar for service has been irrevocably raised – not by competitors alone, but by the experiences customers have every day as consumers. Seamless digital interactions, personalization, immediacy – these expectations don’t stay confined to B2C. They follow customers into every interaction, including industrial service.

It may feel unrealistic. It may even feel unfair.

But it is reality, and optimization alone cannot meet it.

The days when “crushing” operational metrics could differentiate a service organization are gone. Remember when delivering consistently strong performance in areas like response time or asset uptime was enough to stand out? The same effort today meets the minimum requirement.

This creates a complex tension within many service organizations today, because they’re still working toward achieving consistent operational excellence. Meanwhile, as they strive to get there, the target has already moved.

So, the question becomes: “How do you pursue operational maturity while also advancing beyond it?”

The answer isn’t to abandon optimization, but rather to stop viewing it as the end goal.

The Case for Service Amplification

If optimization is about perfecting the present, amplification is about reimagining what’s possible.

Amplification asks a fundamentally different set of questions:

How do we deliver exponentially more value, not incrementally more efficiency?
How do we scale expertise, not just output?
How do we elevate the role of service from execution to impact?

When you consider these converging pressures, you see why this shift is especially critical:

Workforce Constraints. The gap between experienced workers retiring and new talent entering the field continues to widen. At the same time, generational expectations around work are shifting. Organizations cannot rely on simply adding headcount to grow.
Rising Customer Expectations. Customers expect outcomes, not activities. Experiences, not transactions. Value, not just seamless service delivery.
Expanding Digital Capabilities. Advancements in AI and connected technologies have made it possible to rethink how work gets done and what service can deliver.

These forces don’t just challenge the status quo; they make it unsustainable.

AI: From Enabler to Amplifier

For a long time, we’ve talked about technology as a great enabler – and I think this exacerbates the tendency to stay focused on optimization. AI, however, is far more than an enabler – it’s an amplifier.

One of the biggest risks organizations face right now is underestimating the role of AI.

Too often, we view modern AI through the same lens as we’ve viewed previous iterations of technical innovation. As such, it is considered as a tool for efficiency:

Reducing costs
Automating tasks
Streamlining operations

While those benefits are real, they are also limiting.

AI is far more powerful when viewed as an amplifier – a force multiplier that expands what your people and your business are capable of.

When considered as an amplifier, AI allows organizations to:

Scale expertise across the workforce
Deliver proactive and predictive service at scale
Enhance decision-making in real time
Create richer, more personalized customer interactions

Perhaps most importantly to service organizations, AI makes it possible to move beyond transactional delivery models in a way that is scalable. This makes business model shifts that have historically been constrained by workforce limitations far more attainable.

So, while it’s fine to ask, “How can we use AI to do the same things more efficiently?” You are putting your business at tremendous risk by not also asking, “How can we use AI to do things that weren’t possible before?”

Making the Mindset Shift

Yes, shifting from optimization to amplification is about leveraging today’s technology. But even more so, it’s about adopting a new perspective.

It means changing the pattern of thinking from:

Minimizing cost → Maximizing capability
Reducing effort → Expanding impact
Improving processes → Reimagining possibilities

And perhaps most critically, it starts with accepting the reality of where we are today.

Leaders don’t have to like the fact that customer expectations have outpaced what many organizations are prepared to deliver. But acknowledging that reality is the first step toward addressing it. Because the organizations that continue to focus solely on optimization risk falling further behind – perfecting a version of service that is no longer sufficient.

The Future Belongs to Service Amplifiers

The future of service won’t be defined by those who operate most efficiently within yesterday’s model. It will be defined by those who use today’s capabilities to build something entirely new.

Organizations that embrace the shift to amplification will:

Empower their workforce rather than constrain it
Scale value rather than just activity
Lead with outcomes rather than outputs

In doing so, they won’t just meet expectations – they’ll redefine them. And in a world where operational excellence is assumed, doing so is now necessary to stand out.

What If Your Future Best Technician Doesn't Know Field Service Exists?

What If Your Future Best Technician Doesn't Know Field Service Exists?

Share

The Visibility Problem: Painting a Narrow View of Career Opportunities

The Frontline Role: Technical Skills are Just the Start

The Simplest Advice That Unlocks The Human Side of Field Service

What’s the Future of Career Growth in Field Service?

The Opportunity Ahead

Stay Connected

Related Content

The Mindset Behind Siemens’ Service Success

What If Your Future Best Technician Doesn't Know Field Service Exists?

From Doctor Dreams to Field Service: The Massive Potential of Underrepresented Career Paths

Most Recent

The Mindset Behind Siemens’ Service Success

What If Your Future Best Technician Doesn't Know Field Service Exists?

From Doctor Dreams to Field Service: The Massive Potential of Underrepresented Career Paths

The Top 5 Community-Sourced Takeaways from Future of Field Service Live NYC

The Top 5 Community-Sourced Takeaways from Future of Field Service Live NYC

Share

#1: Technology Alone Can’t Power the Future of Service

#2: AI is a Present-Day Business Imperative (But Not a Strategy)

#3: The Growth Potential in Service is Massive

#4: We’re So Much Stronger Together

#5: Service Organizations Must Seek Inspiration Outside Their Own Industry

Stay Connected

Related Content

The Mindset Behind Siemens’ Service Success

What If Your Future Best Technician Doesn't Know Field Service Exists?

From Doctor Dreams to Field Service: The Massive Potential of Underrepresented Career Paths

Most Recent

The Mindset Behind Siemens’ Service Success

What If Your Future Best Technician Doesn't Know Field Service Exists?

From Doctor Dreams to Field Service: The Massive Potential of Underrepresented Career Paths

7 Levers You May Be Missing to Get Ahead in the Frontline Talent War

7 Levers You May Be Missing to Get Ahead in the Frontline Talent War

Share

Lever #1: Understand the Importance of Perception

Lever #2: Recognize Your Employer Brand is Inextricably Linked to Employee Engagement

Lever #3: Turn Inward for Inspiration

Lever #4: Don’t Ignore What the Talent You Want Wants

Lever #5: Closely Consider Your Frontline Culture

Lever #6: Ramp Up Creativity & Lean in to Change

Lever #7: Hire Marketing Talent to Level Up Your Approach

Stay Connected

Related Content

The Mindset Behind Siemens’ Service Success

What If Your Future Best Technician Doesn't Know Field Service Exists?

From Doctor Dreams to Field Service: The Massive Potential of Underrepresented Career Paths

Most Recent

The Mindset Behind Siemens’ Service Success

What If Your Future Best Technician Doesn't Know Field Service Exists?

From Doctor Dreams to Field Service: The Massive Potential of Underrepresented Career Paths

What Is Field Service Management (FSM)? Definition, Benefits, and How to Get It Right

What Is Field Service Management (FSM)? Definition, Benefits, and How to Get It Right

Share

What Is Field Service Management?

Core Components of FSM

How FSM Has Evolved

Why Field Service Management Matters

Operational Efficiency and Productivity

Customer Experience and Retention

Financial Impact and Resource Optimization

Common Challenges in Field Service Management

People and Process Friction

Technology and Data Gaps

Overcoming Obstacles

How Field Service Management Works Day to Day

Typical FSM Workflow

Technology That Enables the Flow

Integration Across the Business

Implementing Field Service Management: A Practical Guide

1) Assess and Align

2) Design the Target Operating Model

3) Select the Right FSM Platform

4) Implement in Phases

5) Enable the Workforce

Implementation Checklist

Measuring Success: Field Service KPIs That Matter

Working With Contractors and Partners

**#2: AI is a Present-Day Business Imperative (But Not a Strategy)**