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Transformation has become a permanent condition for many organizations. New technologies, regulatory demands, operating models, and customer expectations arrive faster than old ones can realistically be retired.
For leadership teams, this means change is no longer something that happens in phases. It is the environment in which business now operates. Despite sustained investment, results remain mixed. Industry research often suggests that around 70 percent of transformation efforts fall short of expectations, a figure frequently cited by organizations such as McKinsey & Company. While the precise number varies by study, the pattern is familiar to most executives.
The causes are rarely a lack of ambition, sponsorship, or strategic intent. More often, they emerge when bold plans collide with the operational realities of the enterprise. Strategies are sound. Technology is capable. Funding is approved. Yet execution falters when organizations struggle to absorb change while still delivering day-to-day performance. Initiatives overlap. Capacity is stretched. Dependencies surface late. Decisions made in isolation compound pressure elsewhere. This is where transformation most often slows or stalls. And this is where the role of the Chief Operating Officer is quietly but materially changing.
From Operator to Transformation Guardian
Efficiency, throughput, and execution discipline will remain core to the COO role. But by 2028, they will no longer be sufficient to define it. Increasingly, the COO is becoming a Transformation Guardian: the executive responsible for protecting outcomes while enabling change to move at pace. This shift is not driven by operations expanding its remit. It is happening because transformation, technology, risk, and people agendas now intersect operationally, often earlier and more forcefully than expected.
Strategic ambition rarely fails in theory. It strains when it reaches the operational layer.
When automation scales faster than workforce readiness, when regulatory change reshapes processes mid-flight, when multiple initiatives compete for the same specialist capacity, operations absorbs the impact first. The COO sits at the point where these pressures converge.
As a result, the COO’s role is evolving from ensuring execution happens to ensuring execution holds, under sustained pressure and over time.
From Execution to Orchestration
Traditionally, COOs were tasked with keeping the business running. Success was measured in stability, efficiency, and predictability.
Today, they are also expected to ensure the organization can keep changing, without losing control. Modern COOs are increasingly required to:
- Translate strategic ambition into operating models that can absorb sustained change rather than one-off programs
- Work closely with transformation and technology leaders to keep initiatives deployable in practice, not just viable on paper
- Anticipate where regulatory, workforce, or capacity constraints are likely to surface before momentum is lost
The distinction between “running the business” and “changing the business” has blurred. In practice, the same teams, systems, and decisions now carry both responsibilities.
This creates tension. Performance targets still matter. Service levels still matter. Risk still matters. But transformation no longer happens at the edges of the organization. It happens through the core. Without orchestration, change efforts stack. Timelines compress. Trade-offs remain implicit. Teams are asked to absorb more work without a clear view of what can realistically be delivered.
The most effective COOs are those who operate across both horizons. They sustain performance today while actively shaping how the organization adapts tomorrow, without treating those goals as competing priorities.
Three Shifts Defining the 2028 COO
1. From Functional Silos to Systemic Awareness
Operations no longer behave as discrete functions. They operate as interconnected systems where change in one area quickly creates consequences elsewhere. A technology decision alters work distribution. A regulatory update reshapes process flow. A new product launch changes demand patterns in unexpected ways. These effects are rarely isolated, and they rarely appear in the order anticipated.
COOs are increasingly valued for their ability to see these interactions early and respond deliberately. Not by reacting to issues once they surface, but by understanding how the system behaves under pressure.
This systems-level awareness is becoming essential to building operating models that are resilient, adaptable, and capable of sustaining change over time. Without it, organizations optimize locally while creating instability elsewhere.
2. From Reporting Outcomes to Guiding Decisions
Leaders today are not short of data, dashboards, or reports. What remains scarce is clarity on where attention, intervention, and investment will actually make a difference. As transformation activity increases, so does the volume of signals. The challenge is no longer visibility in isolation, but judgment.
Leading COOs are shifting their focus toward decision quality:
- When to intervene and when to allow the system to adjust
- Where to prioritize effort when resources are constrained
- How to sequence, pause, or accelerate change without compounding risk
This requires timely insight that exposes trade-offs and consequences before commitments are made. It allows leaders to act with intent rather than reaction, particularly when timelines are compressed and tolerance for disruption is low.
In this context, the COO’s value increasingly lies in helping the organization choose wisely, not just execute quickly.
3. From Operational Shield to Enterprise Steward
The COO has always acted as a shield, protecting continuity, compliance, and delivery.
That responsibility remains, but it now sits alongside a broader stewardship role. The COO of 2028 balances pace with stability, ambition with feasibility, and innovation with control.
In many organizations, this role increasingly overlaps with enterprise resilience. It is no longer sufficient to deliver change. Leaders must also ensure that change does not erode trust, reliability, or long-term performance.
This stewardship mindset reframes success. Progress is measured not only by what is launched, but by what endures.
Why Confidence in Execution Matters
Transformation fatigue is real. Transformation failure is equally real.
In many organizations, the difference between stalled initiatives and sustained impact is not ambition or funding. It is confidence in execution. Not optimism or belief, but clarity about what can be delivered, when, at what cost, and with which trade-offs.
Today, COOs who consistently support successful change focus on ensuring that:
- Strategic intent is translated into clear operational outcomes rather than abstract objectives
- Capacity is aligned so teams are not pushed beyond practical limits
- Decisions are guided in ways that reduce uncertainty and unintended risk
When these conditions exist, change accelerates. Teams commit because delivery feels achievable. Leaders act because consequences are understood. Momentum builds without destabilizing the system.
When they do not exist, even well-funded programs struggle to land. Execution confidence erodes, timelines slip, and transformation becomes something the organization absorbs rather than advances.
Operations as the Connective Tissue
As transformation agendas expand, the COO’s influence increasingly lies in partnership rather than authority. Change now spans technology, regulation, workforce models, and customer expectations, cutting across traditional functional boundaries.
In this environment, successful COOs work closely with transformation leaders, technology teams, compliance functions, and HR to ensure initiatives are sustainable, supported, and absorbed by the organization.
When operations is excluded from transformation design, issues surface late. Dependencies are missed. Capacity assumptions prove unrealistic. What begins as momentum turns into recovery mode, with teams reacting to problems that could have been anticipated.
When operations is embedded early, trade-offs are surfaced sooner. Sequencing improves. Teams understand what matters most and why. Operations becomes the connective tissue that links ambition to reality.
Rather than slowing progress, this grounding often accelerates it. Less energy is spent correcting missteps, and more is directed toward sustained forward momentum.
Looking Ahead
By 2028, the most effective COOs will not be remembered for efficiency alone. Nor will they be defined purely by delivery metrics, cost ratios, or operational scale.
They will be recognized as the leaders who enabled transformation to deliver real impact, repeatedly and reliably, in environments where change never truly pauses. Leaders who understood that transformation success is rarely determined by ambition at the top, but by absorption capacity across the organization.
In practice, this means protecting the conditions that allow change to hold. Ensuring teams are not overloaded by overlapping initiatives. Making trade-offs visible before they become constraints. Slowing down deliberately when pace threatens stability, and accelerating confidently when the system is ready.
The COO of 2028 does not remove uncertainty. They make it navigable.
As organizations continue to invest in technology, automation, and new operating models, the gap between what is possible and what is sustainable will only widen. The COO sits at the center of that gap. Not as a gatekeeper to progress, but as a guardian of outcomes.
In a world where transformation is constant, the COO’s role is no longer just to keep the machine running. It is to ensure the organization can continue to change without breaking what makes it work, today and over time.
That is the shift already underway. And it is what will define the COO of 2028.
Process Analysis
We all know that processes don’t always play out the way we expect them to. Whether it’s loan applications in a bank, claims in an insurance team, or any kind of customer case, things can get messy pretty quickly. That’s exactly why we built Process Analysis, a new feature designed to show you what’s actually happening inside your case journeys, without the guesswork.
One of the first things Process Analysis does is automatically learn from your historical cases and identify the patterns that tend to repeat. It’s a bit like having a built-in analyst who can look at a closed case and say, “Here’s the route this kind of case usually takes, and here’s where it typically bottle necks.” For example, a retail bank using Process Analysis discovered that loan applications requiring manual income checks consistently fell into the slowest lane. The feature made it obvious that these cases took about three times longer to close, mostly because of delays at one specific handoff between teams. Once they had line of sight of this, they introduced automated checks and significantly sped things up.
As you dig deeper, Process Analysis also helps you visualise every key touchpoint across the entire lifecycle of a case. Instead of relying on assumptions about how work should flow, you get a clear picture of how it really does. One insurance provider used this view to analyse property damage claims and was surprised to learn that around 20% of cases looped back for “missing documentation.” On paper, everything was meant to be collected upfront, but the lived reality looked different. With this insight, they tightened up their early customer communications and cut down avoidable back-and-forth.
And because processes often drift away from their intended paths over time, Process Analysis compares real behaviour with expected or historical patterns so you can spot when something looks off. A commercial lending team recently discovered that certain cases were skipping a key risk-review step – not intentionally, but because a workflow rule only triggered under very specific conditions. The team wouldn’t have caught it without seeing the actual paths cases were taking. Fixing the rule didn’t just improve compliance; it also gave leadership confidence that the process was running as designed.
All of this adds up to better visibility, better decisions, and ultimately better outcomes. Process Analysis shows you what’s really happening, why it’s happening, and where you can improve – turning everyday case data into clear, actionable insight you can use right away. If you’re looking to speed up approvals, streamline claims handling, or simply understand your operations with more clarity, this is a feature that makes the invisible visible.
