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May 11, 2026 | 3 Mins Read

From Field to Remote: How One Engineer Redesigned His Career Without Leaving the Work He Loves

May 11, 2026 | 3 Mins Read

From Field to Remote: How One Engineer Redesigned His Career Without Leaving the Work He Loves

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FRONTLINE UNSCRIPTED — EPISODE 3 - Fernando Ferreyra didn’t give up his field service career — he evolved it. In the latest episode of Frontline Unscripted, the QuidelOrtho service engineer shares what the transition from FSE to remote technical support taught him about career growth, work-life balance, and why the human side of service can’t be automated away.

There’s a version of a field service career that hasn’t changed much in decades: take the territory, log the miles, fix the equipment, repeat. Fernando Ferreyra lived that version - and was very good at it. A three-time Ambassador Club award winner at QuidelOrtho, recognized as a top-performing field service engineer nationally. But when his daughters were born and his wife returned to school to become a nurse practitioner, the calculus changed.

Not with regret. With intention.

Fernando’s move into a second-level remote support role — troubleshooting complex issues for field engineers and customers without leaving home — wasn’t a step back. It was a natural next step that gave him the ability to scale the part of the job he’d always loved most: solving hard problems and helping the people around him do the same.

Career Paths in Service Are Rarely Straight - and That’s the Point

Fernando came to field service the long way around — through a technical high school in Argentina, a medical laboratory technician degree in the US, years in a blood bank and at the United Nations, and a growing curiosity about the engineers who showed up to fix the equipment he used every day.

That background gave him something that proved invaluable in the field: he’d been the customer. He understood the urgency when equipment goes down, the pressure of a lab that can’t run results, and the relief when someone shows up and actually fixes it. “Sometimes you don’t just fix the equipment,” he says. “You gotta fix the customer first.”

It’s a reminder that the technical and the human are inseparable in service — and that the best engineers are fluent in both.

Work-Life Balance Isn’t a Perk - It’s a Retention Strategy

Fernando’s story is also a quiet case study in what it means for an organization to actually support its people at different stages of life. His transition to remote support happened to coincide with his wife going back to school. Today, he’s the one at home when the kids get off the bus. She’s the one building her nursing career. They take turns. It works.

But it only works because QuidelOrtho offered a career path that made it possible. The question for service leaders isn’t whether your technicians value flexibility — they do. It’s whether your organization has built the options that make it real.

As Fernando puts it: “When you take care of them, it shows everywhere.” The top performers — the ones who hold teams together, raise the bar on service quality, and keep customers coming back — are not infinite resources. They’re people in a particular season of life, weighing whether the role they’re in still fits.

On AI: Useful, But Not the Point

Fernando is, by his own admission, a technology enthusiast. He builds computers at home, tracks new AI tools, and uses them daily in his role to search parts, pull procedures, and work through technical queries faster. He’s not skeptical of AI — he’s a genuine believer in its practical utility.

And yet he’s clear: it isn’t replacing the field. “Customers still want to talk to somebody. An engineer to come to the site. I think we still want the human connection.”

It’s a perspective we hear again and again from frontline voices — and it’s worth service leaders keeping front of mind as AI investment continues to accelerate. Technology optimizes the work. It doesn’t replace the relationship.

Fernando closes the episode with a quote he’s carried since his early career days: “Life is 10% what happens to you and 90% how you react to it.” It’s the kind of quiet wisdom that doesn’t require a slide deck. It just requires a leader willing to listen.

Listen to Episode 3 of Frontline Unscripted:

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May 7, 2026 | 5 Mins Read

Lessons in Commercial Excellence in Digital Energy Services at Schneider Electric

May 7, 2026 | 5 Mins Read

Lessons in Commercial Excellence in Digital Energy Services at Schneider Electric

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Episode 364 | UNSCRIPTED

What if the future of service isn’t about fixing products—but maximizing customer outcomes?

In this episode of UNSCRIPTED, host Sarah Nicastro sits down with Ravichandra Sheersagar, Digital Energy Services VP at Schneider Electric, to explore how service organizations must evolve from transactional support models to long-term, outcome-driven partnerships.

As AI, digital transformation, and connected systems reshape customer expectations, Ravichandra explains why services are becoming the primary competitive differentiator—and why companies that continue organizing around products instead of customers risk falling behind.

From designing products with serviceability built in, to reimagining operating models with AI, this conversation offers practical lessons for service leaders navigating the next era of field service.

Watch the Full Episode

Why Services Are Becoming the Core Competitive Advantage

One of the strongest themes throughout this conversation is the idea that services are no longer an add-on to the product business—they are becoming the business itself.

As Ravichandra explains, customers are no longer looking for vendors that simply deliver products. They want partners that can help them design, operate, maintain, and continuously improve outcomes over the full lifecycle of their systems.

That shift fundamentally changes how service organizations create value.

Instead of focusing on:

  • Break-fix support
  • Transactional service delivery
  • Reactive maintenance
  • Billable labor hours

Leading organizations are focusing on:

  • Lifecycle partnerships
  • Outcome-based services
  • AI-enabled optimization
  • Long-term customer performance

In this model, services become the engine for:

  • Recurring revenue
  • Customer retention
  • Expansion opportunities
  • Competitive differentiation

And increasingly, market valuation reflects that reality.

Designing Products for Service From the Beginning

Another major takeaway from this discussion is that service excellence cannot be bolted on after a product is built.

Ravichandra stresses that products and platforms must be designed for service from inception.

That means embedding:

  • Connectivity
  • Serviceability
  • Lifecycle intelligence
  • Remote visibility
  • Upgrade pathways

directly into product strategy.

Without that foundation, organizations struggle to:

  • Understand how customers use their products
  • Deliver proactive support
  • Create meaningful lifecycle value
  • Scale recurring service models

The organizations leading in digital services are the ones building products with long-term service relationships in mind—not treating service as an afterthought.

Why the Future of Service Is About Outcomes, Not Fixes

One of the clearest insights from this episode is that the future of service differentiation will not come from fixing issues faster.

It will come from helping customers achieve better outcomes.

That’s a significant shift.

Customers increasingly expect service providers to help them:

  • Improve operational performance
  • Reduce risk
  • Increase efficiency
  • Optimize energy usage
  • Support sustainability goals
  • Maximize uptime

In other words, value is moving upstream.

The expectation is no longer:

“Fix my problem.”

It's:

"Help me perform better."

That requires service organizations to rethink:

  • How they structure teams
  • What capabilities they invest in
  • How they measure success
  • What skills their workforce needs

The Rise of the Customer Performance Engineer

To support this shift, Schneider Electric has introduced a new role: the Customer Performance Engineer.

This role represents a broader evolution happening across service organizations.

Instead of simply dispatching technicians to solve issues, companies are building roles that combine:

  • Technical expertise
  • Data analytics
  • Customer advisory
  • Portfolio-level thinking
  • Strategic optimization

These individuals help customers understand:

  • How systems are performing
  • Where value is being lost
  • What modernization opportunities exist
  • Which improvements will create measurable outcomes

This approach enables organizations to scale value creation without relying solely on linear workforce growth.

It also creates more strategic career paths for service professionals while strengthening long-term customer relationships.

AI as the Foundation for Operating Model Transformation

AI is another major focus of the conversation—but not in the way many organizations approach it today.

Rather than using AI as a standalone tool, Ravichandra explains how AI should be used to fundamentally reimagine service operating models.

One example is AI-driven scheduling and planning.

Traditionally, planners manually coordinate:

  • Technician schedules
  • Customer requests
  • Travel time
  • Resource allocation

AI-driven systems can now optimize these decisions dynamically by analyzing:

  • Asset criticality
  • Distance and travel efficiency
  • Customer priorities
  • Revenue opportunity
  • Technician capabilities
  • Historical service patterns

The result is:

  • Faster response
  • Better resource utilization
  • Improved customer outcomes
  • Reduced operational friction

More importantly, it frees human talent to focus on higher-value work.

Organize Around Customers, Not Products

A particularly important lesson from this discussion is Ravichandra’s perspective on organizational design.

He argues that companies must stop organizing around:

  • Products
  • Platforms
  • Internal silos

and instead organize around customer segments and customer outcomes.

Because different industries have fundamentally different operational priorities.

For example:

  • Data centers prioritize uptime and redundancy
  • Healthcare prioritizes reliability and emergency responsiveness
  • Life sciences prioritize compliance and traceability

Trying to force all customers into the same service model creates friction and limits value creation.

Instead, service organizations need:

  • Segment-specific strategies
  • Tailored value propositions
  • Specialized expertise
  • Flexible operating models

This customer-centric approach becomes increasingly important as service complexity grows.

Why the Existing Service Playbook Is Becoming Obsolete

Perhaps the biggest takeaway from this episode is Ravichandra’s belief that the traditional service playbook is becoming irrelevant.

AI-enabled services, connected assets, lifecycle intelligence, and outcome-based partnerships are rapidly becoming baseline expectations—not future concepts.

The organizations that continue optimizing legacy operating models incrementally risk falling behind competitors willing to fully reimagine service delivery.

That doesn’t mean adopting technology for the sake of innovation.

It means:

  • Deeply understanding customer environments
  • Designing around outcomes
  • Embedding AI intentionally
  • Connecting products and services
  • Building systems that scale value consistently

The future of service belongs to organizations that can combine technology, process, people, and customer understanding into one integrated system.

Key Takeaways for Service Leaders

Services are becoming the primary competitive differentiator in digital industries Outcome-based partnerships are replacing transactional service models Products must be designed for service from inception AI should reimagine operating models—not just automate tasks Customer-centric organizational design is critical for scaling value Specialized roles like Customer Performance Engineers will shape the future workforce Connected systems and lifecycle intelligence are foundational to modern services Incremental optimization is no longer enough—service organizations must rethink the playbook entirely

The Future of Service Is Outcome-Driven

What Ravichandra outlines in this conversation is a much larger shift than simply adopting new technology.

It’s a shift in how service organizations define value.

The future of service will not be measured by:

  • How many tickets are closed
  • How quickly technicians arrive
  • How efficiently work orders are processed

It will be measured by the outcomes customers achieve over time.

That requires:

  • Stronger partnerships
  • Better data visibility
  • AI-enabled intelligence
  • Connected ecosystems
  • Workforce transformation
  • And a relentless focus on customer success

The organizations that embrace that shift early won’t just improve service delivery—they’ll redefine what customers expect from service altogether.

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Follow along and stay connected with the Future of Field Service community:

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May 4, 2026 | 6 Mins Read

AI Isn’t a Strategy (& 6 Other Realities Service Leaders Can’t Afford to Ignore)

May 4, 2026 | 6 Mins Read

AI Isn’t a Strategy (& 6 Other Realities Service Leaders Can’t Afford to Ignore)

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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:

  1. It creates tangible evidence to justify further investment.
  2. 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.

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April 29, 2026 | 3 Mins Read

AI in Action: Less Chasing Trends, More Creating Value | UNSCRIPTED

April 29, 2026 | 3 Mins Read

AI in Action: Less Chasing Trends, More Creating Value | UNSCRIPTED

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What If Your AI Strategy Is Holding You Back?

For service leaders, AI isn’t just another technology trend - it’s a major opportunity to transform how work gets done.

But as many organizations are discovering, moving fast with AI doesn’t always mean moving in the right direction.

In this episode of UNSCRIPTED, host Sarah Nicastro sits down with Jayda Nance, AI Product Owner at IBM, to explore why clear problem determination beats trendy tech adoption, how to distinguish between automation and true AI, and why pilots - not large-scale rollouts - are the key to proving real business value.

The result? A practical, no-hype approach to AI that helps service leaders create value — not just activity.

Listen to the Full Episode

Stop Chasing Trends: Why AI Strategies Often Miss the Mark

One of the biggest risks in AI adoption today is the tendency to chase momentum instead of solving meaningful problems.

Organizations feel pressure to:

  • Keep pace with competitors
  • Align with industry trends
  • Demonstrate progress with AI

However, as Jayda explains, this often creates short-term momentum without long-term impact.

Without a clear understanding of the underlying problem, AI initiatives can lead to:

  • Misaligned investments
  • Low adoption
  • Solutions that fail to scale

Start With the Problem - Not the Technology

A central theme of the conversation is adopting a “reporter mindset.”

Before selecting any technology, leaders must take the time to:

  • Observe what is actually happening
  • Ask deeper, more meaningful questions
  • Understand root causes

In many cases, what appears to be an AI opportunity is not a technology gap at all.

More often, the issue lies in a lack of process clarity.

Fix the Process Before Adding Intelligence

One of the most practical insights from this discussion is that not every challenge requires AI.

In many instances, the real issue can be addressed by:

  • Redesigning workflows
  • Improving data quality
  • Clarifying roles and responsibilities

Introducing AI into a flawed process does not resolve the issue — it amplifies it.

A strong operational foundation must come first.

AI vs. Automation: Understanding What You Actually Need

Another important distinction is understanding when to use automation versus AI.

  • Automation is suited to repetitive, rule-based tasks
  • AI is required when systems need to learn, adapt, and make decisions

Applying AI where automation would suffice increases cost and complexity unnecessarily, while failing to use AI where it is needed limits potential impact.

The objective is not to use AI everywhere, but to use it where it creates the most value.

Why Pilots Beat Large-Scale Rollouts

Rather than committing to large, complex initiatives from the outset, Jayda emphasizes the importance of starting with pilots.

Pilots enable organizations to:

  • Prove value quickly
  • Minimize risk
  • Build confidence across stakeholders

For example, testing a solution on a small number of service requests over a short period can validate whether the approach is viable before scaling further.

This approach ensures that investment decisions are based on evidence rather than assumption.

AI Doesn’t Work Without the Right Mindset

Technology alone does not drive transformation — people do.

A common barrier to AI adoption is mindset.

Concerns such as job displacement, lack of technical expertise, or perceived complexity can limit engagement.

However, AI tools are becoming increasingly accessible.

The differentiator is not technical background, but curiosity and willingness to engage.

Organizations that foster a culture of learning and experimentation are better positioned to succeed.

Building Momentum Through Early Wins

AI adoption should be viewed as a journey rather than a single initiative.

Early successes play a critical role in building trust and momentum.

Starting with focused pilots allows organizations to:

  • Demonstrate tangible value
  • Reduce resistance to change
  • Create internal advocates

Over time, this momentum enables broader and more effective adoption.

Key Takeaways for Service Leaders

  • Begin with clear problem determination before selecting technology
  • Address process inefficiencies before introducing AI
  • Understand the distinction between automation and AI
  • Use pilots to validate value before scaling
  • Build trust through early, measurable successes
  • Prioritize mindset and culture alongside technology

The Future of AI in Field Service Is Intentional

This conversation reinforces that AI is not about chasing trends or deploying technology for its own sake.

It is about solving real problems, creating measurable value, and building strategies that can scale sustainably.

For service leaders, the implication is clear:

Organizations that succeed with AI will not necessarily be the fastest adopters, but the most deliberate in how they apply it.

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April 28, 2026 | 5 Mins Read

From Reactive to Relentless: 5 Lessons from Johnson Controls’ Service Home Run

April 28, 2026 | 5 Mins Read

From Reactive to Relentless: 5 Lessons from Johnson Controls’ Service Home Run

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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.

Most Recent

April 22, 2026 | 4 Mins Read

How AI and Connected Security Are Enabling 95% Remote Issue Resolution at Fenway Park

April 22, 2026 | 4 Mins Read

How AI and Connected Security Are Enabling 95% Remote Issue Resolution at Fenway Park

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Episode 362 | UNSCRIPTED

What if you could resolve 95% of service issues without sending a technician to the field?

For service leaders, that’s not just an efficiency gain — it’s a complete shift in how service is delivered, priced, and experienced.

In this episode of UNSCRIPTED, host Sarah Nicastro sits down with Greg Parker, Vice President for America’s Life Cycle Solutions at Johnson Controls, to explore how intelligent connected systems, AI-powered monitoring, and centralized command transformed security operations at Fenway Park.

The result? A proactive, data-driven model that reduces truck rolls, improves uptime, and enables outcome-based service agreements to become the new standard.

Listen to the Full Episode

From Reactive to Proactive: The Shift That Changes Everything

One of the most striking insights from this conversation is just how limited visibility is in traditional service models.

On average, 25% of customer assets aren’t even being monitored or fully understood.

That creates a reactive environment where:

  • Issues are only addressed after failure
  • Technicians are dispatched without full context
  • Costs rise while outcomes remain inconsistent

By contrast, Johnson Controls’ Connected Security model enables continuous monitoring of assets — from camera positioning and firmware to performance deviations — allowing teams to act before issues impact operations.

This shift from reactive to proactive service is what makes 95% remote resolution possible.

Connected Assets: The Foundation of Modern Service Delivery

Security systems — like all asset ecosystems — only work when everything is connected and aligned.

A single misaligned camera, outdated firmware version, or malfunctioning reader can compromise the entire system.

That’s why connected assets are no longer optional.

They are becoming:

  • A baseline expectation in service agreements
  • A critical enabler of risk mitigation
  • A requirement for delivering consistent outcomes

As Greg explains, the future of service isn’t about asking whether assets should be connected — it’s about assuming they already are.

AI as a Force Multiplier - Not a Replacement

A key theme in this episode is how AI is being applied in a very intentional way.

Rather than replacing human decision-making, AI is used to:

  • Filter and prioritize massive volumes of data
  • Surface the most relevant alerts
  • Enable teams to respond faster and more effectively

This approach — referred to as the “human in the middle” — ensures that:

  • Critical decisions still rely on human judgment
  • False alarms are reduced
  • Risk is managed more effectively in high-stakes environments

The impact is significant.

A small centralized team can now scale operations without linear increases in headcount, fundamentally changing the economics of service delivery.

Why Remote Resolution Is a Game-Changer for Field Service

Achieving a 95% remote resolution rate isn’t just a technical milestone — it’s a business transformation.

It means:

  • Fewer truck rolls and lower operational costs
  • Faster issue resolution and improved uptime
  • Reduced disruption for customers
  • More scalable service operations

In many cases, issues are as simple as a connectivity glitch — something that can be resolved instantly from a central command center.

What used to require a site visit can now be handled in minutes.

Outcome-Based Service Agreements: From Aspiration to Reality

Historically, outcome-based contracts were difficult to implement because of limited visibility into asset performance.

Today, that’s changing.

With connected systems and AI-driven insights, service providers can:

  • Monitor asset health in real time
  • Predict and prevent failures
  • Confidently commit to performance guarantees

This makes outcome-based agreements not just possible — but expected.

Customers are no longer willing to pay for:

  • Unnecessary site visits
  • Reactive troubleshooting
  • Unpredictable service outcomes

They want performance, reliability, and accountability — and the technology now exists to deliver it.

Designing Managed Services: Why End-to-End Thinking Matters

Another critical takeaway is the importance of end-to-end service design.

Launching a managed service isn’t just about technology — it requires alignment across:

  • Field operations
  • Central command teams
  • Connected systems
  • Order-to-cash processes

Using a stage-gate approach, Johnson Controls ensures that:

  • Cross-functional teams collaborate early
  • Operational gaps are identified before launch
  • Small issues don’t become large-scale failures

Because in complex service environments, even minor oversights can create significant execution risks.

High-Stakes Environments Require a Different Level of Discipline

Not all service environments are created equal.

Managing security at a venue like Fenway Park — with tens of thousands of people in one place — introduces a completely different level of risk and complexity.

Compared to other sectors:

  • The margin for error is significantly smaller
  • The consequences of failure are far greater
  • The need for precision and diligence is exponentially higher

This requires:

  • Deeper planning
  • More rigorous testing
  • Greater alignment across teams

In high-density environments, service delivery must operate at an entirely different level.

Key Takeaways for Service Leaders

Proactive asset management is essential to reduce costs and improve outcomes Connected systems are becoming table stakes for modern service delivery AI should augment human decision-making, not replace it Remote resolution is the key to scalability and efficiencyOutcome-based contracts depend on visibility and dataEnd-to-end service design prevents execution gapsRisk levels should dictate service delivery rigor

The Future of Field Service Is Proactive, Connected, and Outcome-Driven

The transformation at Fenway Park is more than a success story — it’s a preview of where field service is heading.

A future where:

  • Most issues are resolved before they’re even noticed
  • Field visits are the exception, not the rule
  • Service is measured by outcomes, not activity

For service leaders, the message is clear:

The organizations that invest in connectivity, data, and proactive capabilities today will define the service models of tomorrow.

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April 20, 2026 | 5 Mins Read

Revisiting Wisdom Around 5 Themes that Surfaced at Field Service Next West

April 20, 2026 | 5 Mins Read

Revisiting Wisdom Around 5 Themes that Surfaced at Field Service Next West

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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.

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April 16, 2026 | 2 Mins Read

Adapt or Die: Natural Intelligence as Nature’s Secret Playbook | Assets UNSCRIPTED

April 16, 2026 | 2 Mins Read

Adapt or Die: Natural Intelligence as Nature’s Secret Playbook | Assets UNSCRIPTED

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Assets UNSCRIPTED | A conversation on resilience, adaptation, and what leaders can learn from nature about building smarter organizations.

What if the future of field service leadership could be inspired by nature? In this episode of Assets UNSCRIPTED, host Berend Booms speaks with Floris Regouin, Chief Visionary Officer at The New Tomorrow and author of Natural Intelligence. Together, they explore how principles observed in nature—such as adaptability, collaboration, and resilience—can help field service organizations navigate complexity and change.

Watch The Full Episode Here

To explore these insights in more depth, watch the full Assets UNSCRIPTED episode featuring Floris Regouin:

Key Insights for Field Service Leaders

Key Insights for Field Service Leaders

1. Leadership Through Alignment, Not Control

Nature demonstrates that complex systems can operate effectively without rigid command structures. Much like starling murmurations, field service organizations thrive when leaders provide clear direction while empowering teams to adapt and respond to real-time conditions.

2. Resilience Comes from Diversity and Collaboration

From lichen ecosystems to interconnected natural systems, resilience is built through collaboration and diversity. For field service organizations, this translates into cross-functional teamwork, strong partner ecosystems, and inclusive workforce strategies.

3. The Power of Leverage Points

Nature achieves maximum impact with minimal energy. Field service leaders can apply this concept by focusing on high-impact initiatives—such as optimizing scheduling, enhancing knowledge sharing, and leveraging digital tools—to drive meaningful outcomes without unnecessary complexity.

4. Embracing AI as a Tool for Adaptation

Artificial intelligence should not be viewed as a threat but as an enabler of more human-centered work. By automating routine tasks, AI allows field service professionals to focus on customer relationships, creativity, and strategic decision-making.

5. Adaptation Is the Ultimate Competitive Advantage

The central message of the episode is clear: organizations that fail to adapt risk becoming obsolete. Field service leaders must foster a culture of continuous learning, experimentation, and flexibility to remain competitive in an evolving landscape.

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April 15, 2026 | 4 Mins Read

Field Service Next West 2026: Key Insights Shaping the Future of Service | UNSCRIPTED

April 15, 2026 | 4 Mins Read

Field Service Next West 2026: Key Insights Shaping the Future of Service | UNSCRIPTED

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UNSCRIPTED | A conversation on technology innovation, talent transformation, and culture-driven leadership.

Field service is evolving rapidly, but the conversations at Field Service Next West 2026 in San Diego made one thing clear: success isn’t defined by technology alone. Instead, it lies at the intersection of innovation, people, and culture.

In this episode of UNSCRIPTED, host Sarah Nicastro recaps the standout sessions, pivotal conversations, and personal reflections from the event. From balancing globalization and localization to redefining the service value proposition, the discussion highlights how industry leaders are navigating the complexities of today’s service landscape while preparing for what comes next.

For organizations striving to remain competitive, the key takeaway is clear: sustainable transformation requires not only modern technology, but also a deep commitment to customer-centricity, workforce development, and strong organizational culture.

Watch The Full Episode Here

In This Episode, We Explore

  • Why standardizing and modernizing the technology stack is essential for scalable service operations
  • How organizations are positioning service as a revenue and outcomes-driven engine
  • The importance of customer obsession and truly listening to customer feedback
  • How employer brand and the concept of “emotional salary” influence talent attraction and retention
  • The role of technology and AI in strengthening field service culture
  • Why leaders must balance innovation with strong execution of core business functions
  • Creative approaches to recruitment and workforce development - -
  • Insights from the Women in Service Breakfast and Stand Out 50 Leadership Dinner

Balancing Globalization and Localization

The event opened with a keynote from Brad Haeberle, Executive Vice President of Services, Smart Infrastructure Services at Siemens. Brad explored how global organizations can strike the right balance between standardization and localization.

A recurring theme throughout the week was the critical importance of standardizing the technology stack. Establishing global standards enables scalability and efficiency, while thoughtful localization ensures that regional customer and operational needs are effectively addressed.

Service as a Revenue and Outcomes Engine

Sasha Ilyukhin, SVP of Services at Tetra Pak, shared insights into positioning service as a driver of growth rather than a cost center. He highlighted the Advanced Services Group’s “Four Es” framework—Explore, Engage, Expand, and Exploit—as a powerful, iterative approach to continuously evolving customer value.

This perspective reinforces the shift toward outcome-based service models, where organizations focus on delivering measurable business results for their customers.

Customer Obsession Starts with Listening

During a panel on redefining the service value proposition, Tanya Singh, CCO at Biotronics3D, emphasized a simple yet often overlooked principle: true customer obsession begins with listening.

Understanding not only where organizations excel but also where they fall short provides invaluable insights for continuous improvement. This commitment to honest feedback is essential for shaping meaningful and differentiated service experiences.

Employer Brand and the Power of “Emotional Salary”

Talent transformation was another central theme. Marta Riggins, Strategic Consultant for Employer Brand and Engagement, introduced the concept of “emotional salary.” Beyond financial compensation, emotional salary reflects how employees feel about their work environment, opportunities for growth, recognition, and overall sense of purpose.

As the industry grapples with a widening talent gap, strengthening the employer brand and creating meaningful employee experiences will be critical to attracting and retaining the next generation of service professionals.

Technology’s Role in Shaping Culture

In a co-keynote, James Mylett, CEO of Smart Care, explored how technology can actively shape and strengthen field service culture. Rather than replacing human expertise, modern tools and AI can:

  • Empower technicians to perform at their best
  • Amplify recognition through real-time customer feedback
  • Improve work-life balance by optimizing scheduling and utilization
  • Enhance the visibility and impact of frontline contributions

These capabilities demonstrate how technology can serve as a catalyst for a more engaged and resilient workforce.

Rethinking Recruitment and Workforce Development

The challenge of attracting new talent was a recurring topic throughout the event. Megan Schlom of Schneider Electric highlighted the need for creative and flexible recruitment strategies, emphasizing that there is no one-size-fits-all approach.

While some organizations succeed with apprenticeship programs, others may find greater impact through partnerships with trade schools or alternative pathways. The key is for leaders to take an active role in shaping recruitment strategies and adapting to the evolving expectations of today’s workforce.

Balancing Innovation with Strong Execution

Another important insight came from discussions around AI and technological advancement. While innovation is essential, leaders were reminded that technology should not be used as a substitute for strong execution of core business functions. Sustainable success requires a balance between embracing new possibilities and maintaining operational excellence.

Community and Connection

Beyond the formal sessions, the event fostered meaningful connections across the field service community. Highlights included the Women in Service Breakfast, which provided a platform for open and empowering dialogue, and the Stand Out 50 Leadership Dinner, celebrating leadership and collaboration within the industry.

These moments underscored the importance of community and shared learning in shaping the future of field service.

Why This Matters for Service Leaders

Field Service Next West 2026 reinforced several critical shifts shaping the industry:

  • Service is becoming a strategic growth engine, not just an operational function.
  • Technology standardization and modernization are essential for scalability.
  • Customer-centricity and listening are foundational to value creation.
  • Talent attraction and retention depend on strong culture and employer branding.
  • AI and digital tools should enhance, not replace, human expertise.
  • Leadership and community play a vital role in driving sustainable transformation.

Organizations that successfully integrate these elements will be better positioned to build resilient, adaptable, and future-ready service operations.

Join the Conversation

  • Follow Future of Field Service on LinkedIn here
  • Subscribe to The Insider Newsletter here
  • Follow Sarah Nicastro on LinkedIn here
  • Subscribe to the Future of Field Service YouTube Channel here

About the Host

Sarah Nicastro is the founder of Future of Field Service and a leading voice in service transformation. Through the UNSCRIPTED and Frontline UNSCRIPTED podcasts, she brings together industry leaders and practitioners to explore the trends, challenges, and opportunities shaping the future of service.

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April 8, 2026 | 4 Mins Read

Decoding Generational Differences: Insights on Loyalty, Growth & What Actually Motivates the Frontline | Frontline UNSCRIPTED

April 8, 2026 | 4 Mins Read

Decoding Generational Differences: Insights on Loyalty, Growth & What Actually Motivates the Frontline | Frontline UNSCRIPTED

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Frontline UNSCRIPTED Episode 2 | A conversation on generational differences, career growth, and what it really takes to attract and retain younger frontline talent.

For many younger workers, the trades aren’t the obvious first choice—they’re the opportunity they discover after realizing the expected path may not be the right one.

In this episode of Frontline UNSCRIPTED, Sarah Nicastro sits down with Jacob Brumbelow, Service Technician at MaxAir Mechanical, to talk about his path from college to HVAC, what made the trades click for him, and what his experience reveals about how younger talent views growth, loyalty, leadership, and long-term opportunity.

Because for many organizations, the challenge isn’t just finding talent—it’s creating an environment where that talent can see a future.

Watch The Full Episode Here

In this episode, we explore:

  • Why the trades deserve more visibility as a meaningful and rewarding career path
  • How Jacob discovered that working with his hands offered more fulfillment than the college path he originally pursued
  • Why younger technicians often define loyalty differently than previous generations
  • Why growth opportunities are critical to attracting and retaining frontline talent
  • How small actions—like listening and inviting feedback—can make employees feel seen and valued
  • What senior leaders often misunderstand about younger workers’ motivation and work ethic
  • How leadership development can open up new possibilities early in a frontline career
  • Why trying new things matters more than simply following the path you think you’re supposed to take

From College Assumptions to Career Clarity

One of the most relatable parts of this conversation is Jacob’s description of how he ended up in the trades.

Like many young people, he assumed college was simply the next step. It felt like the default option—the expected path, reinforced more by assumption than intention. But once he got there, it became clear that the work itself wasn’t giving him the satisfaction or sense of purpose he was looking for.

What changed everything was exposure to hands-on work.

Once Jacob realized how much he enjoyed fixing things, solving problems, and seeing the direct impact of his effort, the trades stopped feeling like a lesser alternative and started to look like a far better fit.

That shift matters—not just for individuals, but for the industry. It highlights how important visibility and early exposure are in helping younger talent understand the breadth of opportunity that exists in field service and the trades.

What Younger Talent Wants Isn’t the Same as What Older Generations Wanted

A key theme throughout the episode is the difference between how younger workers often think about work compared to older generations.

Jacob makes the point that younger technicians are often highly motivated—but not always by the same things. Growth, development, leadership opportunities, and long-term trajectory matter a great deal. Many aren’t just looking for a stable role; they want to understand where the path leads and how they can continue building toward something bigger.

That doesn’t mean they aren’t loyal.

It means their loyalty is often tied less to the company itself and more to what the experience offers:

  • Growth
  • Purpose
  • Team connection
  • Feeling heard and valued

This is an important distinction for leaders to understand. If companies continue measuring loyalty and work ethic by outdated standards, they risk misreading the mindset of the very talent they need to attract and retain.

Why Feeling Heard Matters More Than Leaders Realize

Another standout point in the discussion is how much impact seemingly small moments can have on the frontline employee experience.

Jacob shares that one of the things his company does well is create opportunities for employees to speak up, offer feedback, and share their opinions in team settings. While these actions may seem simple, they go a long way in helping people feel included and respected.

In field service environments—where employees are often remote, spread out, and disconnected from a physical office—those small moments matter even more.

They can shape whether someone feels like:

  • A valued part of the team
    or
  • Just another number

And when it comes to retention, that difference is significant.

Leadership Development Starts Earlier Than Many Think

One of the most compelling parts of Jacob’s story is his experience in MaxAir Mechanical’s leadership academy.

He joined initially to build confidence in public speaking and push himself outside of his comfort zone. But what the experience opened up was something bigger: a new understanding of leadership itself.

Rather than seeing leadership as a title or a role defined by giving orders, Jacob began to see it as something rooted in service, example, and influence.

That mindset shift is powerful.

It reinforces an important idea for service organizations: leadership development shouldn’t begin only when someone steps into management. It should start much earlier—helping individuals build the awareness, confidence, and skills that make them better teammates, stronger contributors, and future leaders.

Why This Matters for Service Leaders

If organizations want to close the talent gap, they need to do more than recruit younger workers into the trades.

They need to create environments where younger talent can:

  • See opportunity
  • Build skills
  • Feel heard
  • Grow into leadership
  • Understand the “why” behind the work

This episode is a reminder that attracting and retaining frontline talent isn’t just about compensation or filling roles.

It’s about challenging outdated assumptions, broadening visibility into career paths, and creating experiences that align with what today’s workforce values most.

The companies that get this right won’t just hire better—they’ll build stronger, more engaged frontline teams for the future.

Join The Conversation

Follow along and stay connected with the Future of Field Service community:

  • Follow Future of Field Service on LinkedIn here
  • Subscribe to The Insider Newsletter here
  • Follow Sarah Nicastro on LinkedIn here
  • Subscribe to the Future of Field Service YouTube Channel here

Stay Connected

Subscribe to The INSIDER, our exclusive monthly newsletter, and get a first look at what’s new, what’s next, and what’s only shared with our inner circle.

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