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.