When execution fails, organisations look for execution problems: capacity, discipline, project management. Usually they are looking too late. The drift started in the meeting where the decision was made, in the thirty seconds between the decision and the next agenda item.
Execution drift is usually diagnosed months too late, but the research points to its origin: decisions made without ownership, constraints and rhythm. McKinsey’s survey majority rating their decision time as ineffective is one symptom[U]; its 2026 operating-model work shows the counter-pattern: organisations that create value redesign the workflow and the decision rights first, so execution has a defined track to run on[O].
The missing half of the decision
Most decisions are recorded as conclusions: we will enter the market, we will restructure the unit, we will adopt the tool. What rarely gets decided in the same breath is the operating half: who owns it, what the constraints are, what happens first, and when the owner reports back. A conclusion without an operating half is a preference. It sounds like a decision and behaves like a suggestion.
How drift actually works
Drift is not dramatic. Nobody refuses to execute. Instead, the decision meets its first unplanned obstacle, and because no owner, constraint or rhythm was defined, the obstacle wins by default. Three weeks later the decision has quietly reverted to the status quo, and everyone remembers agreeing to something slightly different. The next leadership meeting reopens the question, which teaches the organisation that decisions here are provisional.
The first two weeks decide the next two quarters
Execution is disproportionately shaped by what happens immediately after commitment. A decision that leaves the room with a named owner, an explicit first step, known constraints and a fixed review date behaves differently from day one. Not because people are more motivated, but because ambiguity has fewer places to hide.
A defined near-term execution frame matters more than a detailed twelve-month plan. Long plans absorb drift silently. A shorter, decision-specific frame with named milestones and a fixed review rhythm makes drift visible while it is still cheap to correct.
| The recorded half | The missing half |
|---|---|
| We will enter the market | Who owns entry, by name |
| We will restructure the unit | The first step and its date |
| We will adopt the tool | The constraints already known |
| Decision noted in minutes | Review date where drift becomes visible |
The practical takeaway
At your next decision, do not leave the room after the conclusion. Spend ten more minutes: one owner, one first step, the known constraints, one review date. Ten minutes at the point of decision buys back months at the point of execution.
The ambition-activation gap, measured
Deloitte’s 2026 enterprise survey captures drift at market scale: AI is delivering productivity for most organisations, but only about 34 percent say they are using it to deeply transform how they do business[DE]. The remaining two thirds sit in the gap between ambition and activation: strategies announced, workflows unchanged. That gap is execution drift by another name, and it opens at the same early moment: when the decision to transform was made without ownership, constraints and rhythm attached.
What I see in the field
Drift never announces itself. It looks like five teams executing the same decision with slightly different assumptions, each reasonable, together divergent. By the time the gap is visible in results, the origin is months back at the moment of decision. That is why we anchor ownership, constraints and review rhythm inside the decision itself, not after it.
A decision without an execution frame is a hope. Our sprint closes every committed path with exactly that frame: owners, constraints, and milestones at day 30, 60 and 90: outcomes, not activities.
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Sources
- McKinsey & Company, Decision Making in the Age of Urgency (global survey), 2019. mckinsey.com
- McKinsey & Company, The Operating Model Advantage: Why AI Winners Are Rewiring Their Organizations, July 2026. mckinsey.com
- Deloitte, The State of AI in the Enterprise 2026 (survey of 3,235 leaders). deloitte.com
