6 min read
Most organizations do not decide to create a fragile operating model. It happens gradually as the business changes.
A new customer segment needs an exception. A new location develops a local workaround. A new system solves one department's problem but creates another handoff. An acquisition brings a second version of a process that was already complicated.
None of those decisions looks unreasonable in isolation. Over time, they become the way the business operates.
The signal is usually friction, not failure
An operating model can be wrong for the business and still keep producing results.
The work gets done, but it takes more people, more approvals, more follow-up, more manual reconciliation, and more management intervention than it used to.
Leaders often feel the problem before they can define it. Customer onboarding is slower. Decisions take longer. Reports require cleanup before anyone trusts them. Teams create spreadsheets and informal processes to bridge gaps between systems. Headcount grows without a corresponding increase in capacity.
Those are not isolated efficiency problems. Together, they may be evidence that the operating model no longer fits the business.
More people can hide the design problem
The natural response to friction is often to add capacity.
Another analyst reconciles the numbers. Another coordinator tracks the handoffs. Another manager becomes the escalation point. Another technical resource maintains the integration nobody wants to touch.
That can stabilize the situation. It can also convert a design problem into a permanent operating cost.
The strategic question is not simply whether more capacity is needed. It is whether the work, ownership, decisions, and technology are structured correctly in the first place.
The operating model is larger than the process map
Process matters, but it is only one layer.
A useful operating model looks at how several things fit together:
- ownership
- decision rights
- process and handoffs
- data and information
- technology and systems
- standards and governance
- capacity and incentives
The problem may appear in one layer while the constraint lives in another.
A slow approval might be a bad workflow. It might also be an unclear risk threshold. Repeated data entry might be a missing integration. It might also be the result of two teams owning incompatible definitions of the same customer.
That is why fixing the visible symptom is often not enough.
Start with the future state
The right starting point is not a new platform and not a reorganization.
Start by defining the outcome the organization needs, then understand how the current system prevents it.
From there, the strategy can answer the harder questions. What should be standardized? What should remain flexible? Who should own the end-to-end result? Which decisions belong closer to the work? Where should technology remove friction? Which work should disappear entirely?
The result should be more than a process diagram. It should define a future operating model and a realistic sequence for reaching it.
Growth changes the business. Eventually the way the business operates has to change with it.