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Strategy

Why transformation programs stall at month seven

Most large change programs do not fail on technology. They fail when the funding case, the delivery cadence and the organization's capacity to absorb change stop agreeing with each other.

Madhu Haresh Ahuja, Founder & Managing Principal · June 18, 2026 · 7 min read

There is a pattern we see often enough to set a calendar reminder for it. A transformation program launches with executive sponsorship, a credible roadmap and genuine enthusiasm. Six months later the burn-up chart still looks reasonable. By month seven, the steering committee is discussing scope rather than outcomes, and the program never fully recovers.

The cause is rarely the technology. It is the point where three separate curves diverge: the funding case that was approved, the delivery cadence the team can sustain, and the amount of change the organization can actually absorb.

The absorption ceiling

Every organization has a ceiling on how much process change its people can adopt per quarter. That ceiling is set by training capacity, management attention and the amount of operational slack available. It is almost never measured, and it is almost always lower than the plan assumes.

When delivery exceeds absorption, releases pile up behind the change curve. Users revert to old workflows, benefits do not materialize, and the finance team starts asking why the business case has not converted into results.

Fund in increments that each stand alone

The most reliable countermeasure is structural: require every release to carry its own business case. If a release cannot articulate the metric it moves and the value it returns, it belongs in a later increment.

This has a useful side effect. Programs funded in increments survive leadership changes, budget freezes and market shocks, because at any point the work delivered to date has already returned value.

Instrument the benefit, not the milestone

Milestone reporting tells you the program is busy. Benefit reporting tells you it is working. Instrument the three to five business metrics you promised before the first sprint, and publish them at the same cadence as delivery status.

When those two lines are reported side by side, divergence becomes visible in weeks rather than quarters — and a program that is drifting can be corrected while correction is still cheap.

TransformationOperating ModelChange

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