By: Keith Pine, Managing Partner, Fabric
Email me: keith@fabric.cx
The conversation around agentic technology has moved faster than most organizations can realistically absorb. Boards are asking about it. CEOs are bringing it up in strategy sessions. Vendors are positioning it as the next inevitable leap. But beneath the noise, a quieter and more telling trend is taking shape. A subset of companies is not debating whether agentic systems are real. They are preparing for them.
Recent research conducted by Fabric offers a grounded view into how organizations are actually responding. The findings do not suggest a market in full adoption.Quite the opposite. They reveal a landscape where interest is high, but readiness is uneven and, in many cases, superficial.
More than 82 percent of respondents report low to moderate confidence that agentic technology will deliver meaningful business value. Over 93 percent remain in exploration or pilot phases. Nearly two-thirds lack formal governance for agent-based systems. And more than 70 percent do not have a structured way to measure whether these systems are improving or degrading the experiences they touch.
Taken at face value, this looks like hesitation. In reality, it reflects something more nuanced. Most organizations are still trying to understand what agentic technology actually means in practice. The term itself is being stretched to cover everything from copilots to autonomous workflows. Without clarity, progress stalls.
“The companies getting this right are not the ones rushing to deploy agents everywhere. They are the ones investing in the groundwork that makes those deployments viable.”
And yet, despite the uncertainty, the pressure is building. Leadership teams are not waiting for perfect definitions. They are asking where agents can drive efficiency, where they can unlock new revenue, and how quickly the organization can respond. For many executives, the question is no longer whether this technology will matter. It is when.
That shift matters because it changes the risk equation. Historically, companies could afford to watch emerging technologies from the sidelines.Today, the cost of inaction is higher. Not because competitors have already figured it out, but because the organizations that move early are shaping the operating models that others will eventually have to follow.
The companies getting this right are not the ones rushing to deploy agents everywhere. They are the ones investing in the groundwork that makes those deployments viable.
They start with use cases, but not in the way many expect. Instead of generating long lists of potential applications, they focus on a small number of high-value workflows often an output of process or task mining. These are areas where decisions are repeatable, data is available, and outcomes can be measured. Without that clarity, agentic initiatives remain abstract and fail to gain traction.
They also address governance early. This is not just about compliance or risk mitigation. It is about defining how decisions are made, how accountability is assigned, and where human oversight is required. In the absence of these structures, even promising pilots struggle to move into production. The research shows that more than 60 percent of organizations are still operating without agent-specific governance. That gap will become more problematic as adoption increases.
But the most consistent pattern among leading organizations is their focus on data. Agentic systems are only as effective as the data they can access and act on. When that data is fragmented, outdated, or poorly governed, the outputs become unreliable. This is one of the primary reasons so many initiatives stall at the pilot stage. The underlying systems are not ready.
Measurement is another overlooked factor. More than 86 percent of organizations lack a structured way to evaluate agent performance in the context of user experience. They may track usage or completion rates, but they cannot answer more fundamental questions. Are agents reducing friction? Are they improving outcomes? Are they being adopted in meaningful ways?
“The companies moving ahead are not waiting for certainty. They are building the conditions that make adoption possible.”
Without that visibility, it becomes difficult to justify further investment. This is where many efforts lose momentum. Leaders cannot provevalue, so initiatives remain isolated experiments rather than scalable capabilities.
There is also a broader organizational challenge. Nearly 76 percent of respondents report limited or no formal investment in enablement. This includes training, change management, and operating model design. Even when the technology works, the organization is often not prepared to support it.Ownership is unclear. Processes are not adapted. Teams are not aligned.
The result is a familiar pattern. Early enthusiasm leads to a series of pilots. Those pilots show promise but fail to scale. Over time, attention shifts elsewhere.
The companies avoiding this cycle are taking a different approach. They are treating agentic technology not as a tool, but as a shift in how work gets done. That distinction is important. It moves the conversation from features to workflows, from outputs to outcomes.
This is where service design becomes critical. Agentic systems do not simply automate tasks. They reshape how decisions are made and how experiences are delivered. Without a deliberate effort to redesign those experiences, organizations risk layering new technology onto old processes. The result is incremental improvement at best, and confusion at worst.
A service design mindset forces a different set of questions. Where should agents be involved? Where should humans remain in control? How should interactions change when intelligence is embedded into the flow of work? Where the handoff is between humans and agents. These are not technical questions.They are operational and strategic.
The upside of getting this right is significant. Agentic systems have the potential to drive meaningful efficiency gains by reducing manual effort and accelerating decision-making. At the same time, they can create new revenue opportunities by enabling more personalized, responsive, and scalable interactions with customers.
But that potential is not automatic. It depends on how well organizations prepare.
“What separates the leaders from the rest will not be how quickly they adopted agentic tools, but how well they prepared for them.”
The companies moving ahead are not waiting for certainty. They are building the conditions that make adoption possible. They are cleaning up their data environments. They are defining governance models. They are prioritizing use cases that tie directly to business outcomes. They are investing in measurement so they can learn and iterate. And they are rethinking how work should be structured in a world where agents play an active role.
None of this is particularly visible from the outside. There are no headline announcements or sweeping transformations. It is quieter than that.But it is deliberate.
The broader market will eventually catch up. As the technology matures, more organizations will move from exploration to implementation. The pressure from leadership will only increase. What separates the leaders from the rest will not be how quickly they adopted agentic tools, but how well they prepared for them.
In that sense, the current moment is less about adoption and more about readiness. The companies that recognize that distinction are already ahead.
.svg)
.svg)
