Everyone describes the same fault line. Few make it the subject.
Read across the sources and a consensus emerges that the sources themselves rarely act on: strategy is seldom the problem. The operating model — the working system that turns intent into delivered, provable value — is where transformation breaks. Harvard and Deloitte put it plainly: a digital transformation succeeds only when the operating model is aligned to the strategy. MIT Sloan calls the failure the strategy-execution gap.
"The real killer is the gap between the slide deck and Monday morning."
And yet two things remain rare. First, the operating model is rarely made the actual subject of the work — it is assumed, described, or optimized around, but seldom changed. Second, when a program declares success, that success is rarely made provable: the field cannot even agree on the failure rate, because it has no shared standard for what "changed" or "worked" means.
The three tests that define transformation — and how the familiar approaches measure up.
If transformation is a change to the operating model, three tests follow: can you see the model’s actual state, do you change the model itself, and can you prove the change held? The established approaches each clear some — and reach a limit. That limit is the subject of why transformation falls short.
| Discipline | Sees actual state | Changes the model | Proves the change |
|---|---|---|---|
| Change managementAdoption | Partial | Low | Low |
| Process excellenceLean · Six Sigma | Partial | Partial | Partial |
| Program & portfolioPMO | Low | Low | Partial |
| Enterprise architectureTarget Operating Model | Partial | Partial | Low |
| Process miningActual-state analytics | High | Low | Partial |
| Digital & AICapability & tooling | Low | Partial | Low |
| ETEGY · ZBT + GSDPIOperating-model transformation | High | High | High |
Illustrative — a directional read of each discipline's design intent, not a vendor scorecard. Every row does real work; only one is built to do all three.
Two conclusions the record supports — and the field rarely acts on.
We don't reinvent the category. We straighten it — organizing the recognized evidence around the two things it keeps pointing at and rarely resolves.
Make the operating model the subject
Not the strategy above it or the tools around it — the working system itself: how demand enters, becomes governed work, gets executed, and produces value. If that system didn't change, the transformation didn't happen.
Make the change provable
The field argues about failure rates because it lacks a standard for proof. We set one: the work behind a reported result should trace to a governed origin — evidence a board can defend, not a declaration of success.
This is the throughline of everything ETEGY does: a Zero-Based read of the operating model's actual state, structured across the GSDPI lifecycle, resolving in change that is governed and provable. It's argued in full in our point of view, and delivered through the ZBT Discovery.
The read, concept by concept.
Six research-based reads that make the case in detail — each one a distinction the field blurs, and how we resolve it.
The operating model is the subject
Why failure clusters in the working system — not the strategy above it or the tools around it.
Read →Operating-model transformation vs. adjacent disciplines
How it differs from org redesign, digital modernization, and cost programs — and the line only it crosses.
Read →Transformation vs. change management
Why adoption proves compliance, not that the operating model actually changed.
Read →Benefits & value realization
Why transformation spends the money but rarely captures the value — and where value leaks.
Read →The strategy-execution gap
Why sound strategies never reach the work, and where the gap actually opens.
Read →Actual-state discovery
Why you can't transform a model you've only assumed — start from how it really runs.
Read →That is what transformation is. Here is why it matters.
A definition only earns its weight against the record — what the evidence says happens when the operating model is not made the subject, and the change is never proven.