Published on LinkedIn May 11, 2026
Most organizations have a formal process for managing technical debt. Very few have an equivalent process for managing their operations. That asymmetry is costing them more than they recognize.
Technical debt is a concept most technology leaders understand. When teams take shortcuts to ship faster, they accumulate future maintenance costs. The shortcut works today. The obligation arrives later, usually compounding until it forces a rework nobody budgeted for.
Operating model debt follows the same logic. It is the accumulated weight of governance structures, approval chains, reporting cadences, and decision-making frameworks that were built for an earlier version of the organization. These structures were not mistakes at the time of their design. They solved real problems. They worked. That prior success is exactly why nobody questions them later.
The mechanism is straightforward. As organizations grow or shift strategic direction, the operating model does not automatically update. The intake process that worked when three leaders could hold the full portfolio in their heads breaks when no single person can maintain that visibility. The approval chain that served twelve concurrent initiatives creates serious bottlenecks at eighty. The governance structure designed around a single product line ceases to function when the portfolio spans five distinct delivery streams.
Clayton Christensen described this dynamic in The Innovator’s Solution. His research showed that the processes and values organizations develop to succeed in one phase of growth become the constraints that limit them in the next. What made the model effective is exactly what makes it resistant to change. The people inside the system adapt to the friction rather than removing it, making the debt nearly invisible until it is already significant.
I have seen this pattern across portfolio environments of different sizes. The symptoms are consistent. Experienced delivery leaders spend a meaningful portion of their time navigating internal processes rather than delivering value. Senior teams are consuming leadership bandwidth on status reporting rather than strategic decisions. Escalation paths are designed for risk management in a simpler operating environment, adding friction to routine work.
The most useful diagnostic signal is not financial. It is behavioural. When decisions that should be resolved in days take weeks, and when everyone involved agrees that the decision itself is straightforward, the issue is rarely the decision itself. It is the structure wrapped around it.
Operating model debt compounds quietly. It does not produce a single visible crisis. It creates persistent drag: slower delivery velocity, higher coordination cost, and leadership attention consumed by process rather than judgment. People adapt to the friction, which means the debt accumulates further and becomes increasingly difficult to see from inside the system.
The fix is rarely what organizations reach for first. A new methodology will not resolve it. A technology platform will not resolve it. Those responses typically add complexity on top of an existing model rather than addressing the model itself. Automating a process built for a different operating context increases costs rather than reducing them.
The more useful starting point is a direct audit question: was this governance layer, approval structure, or reporting cadence designed for the organization we are today, or the organization we were three stages ago?
That question is uncomfortable because the honest answer is often that nobody remembers the original design intent. The structure was inherited from a previous initiative, built to solve a problem that may no longer apply, or scaled up from something that made sense at a much smaller level of complexity.
Organizations that manage operating model debt well treat it as infrastructure. They audit governance structures when the scope of delivery expands. They examine approval chains when velocity drops without an obvious cause. They question reporting cadences when senior leadership bandwidth is consistently consumed by status rather than decision-making. They treat the operating model as something that requires intentional maintenance, not something that runs on its own.
That discipline is not common. In most organizations, the operating model is the last thing examined when delivery is struggling. The conversation typically starts with people, moves to process, and eventually reaches tools. The infrastructure holding the work together rarely surfaces until the symptoms are severe enough to force it.
Operating model debt accumulates at every stage of growth, with every portfolio expansion, and with every strategic pivot. The operating model was not redesigned to support. The organizations that recognize it early maintain delivery capacity without the overhead that becomes normalized elsewhere. The ones that do not end up paying for it in delivery costs, leadership overhead, and the sustained friction of an operating model that was designed for an organization that no longer exists.
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