Operating Models & What Success Looks Like, Pillar 3 of 5

Key findings

Operating model dominates technology choice as the determinant of enterprise AI outcomes. JPMC, DBS, Morgan Stanley, Sanofi and Walmart show what coherent operating models look like; McDonald’s, Air Canada, Zillow, and the Klarna customer-service reversal show what happens when they are not.
Operating models cluster into four archetypes on a 2x2 grid (centralization x platform-vs-delivery orientation), each with predictable strengths and failure modes.
Six conditions of success account for most of the variance among healthy programs: production reach, evaluation in production, integration to systems of record, governance integrated with delivery, talent retained around an applied-layer practice, and stable executive sponsorship.
The archetype-by-condition interaction matrix (the synthesis figure of the report) is predictable enough to guide intervention. It is the report’s original framework contribution.
Time-to-second-use-case is among the strongest programme health metrics. Reorganisations follow architecture more reliably than architecture follows reorganisations.

Anchor research

Operating Models & What Success Looks Like

Two enterprises with comparable AI ambition, similar vendor stacks, and similar talent pools routinely produce materially different results. The divergence almost never traces to the technology choice. It traces to the operating model, the design authority, build capacity, governance regime, run mo

This report, Pillar 3 of The Applied Layer, argues four claims. First, operating model dominates technology choice as the determinant of enterprise AI outcomes. Second, the population of operating models in use clusters into four archetypes on a 2x2 grid defined by centralization (centralized vs. federated) and orientation (platform-led vs. delivery-led): Centralized Platform, Centralized Delivery, Federated Platform, and Federated Delivery / CoE. Third, six conditions of success account for most of the variance among healthy programs: production reach, evaluation in production, integration to systems of record, governance integrated with delivery, talent retained around an applied-layer practice, and stable executive sponsorship. Fourth, each archetype makes some conditions easier and others harder; the interactions are predictable enough to guide intervention.

The report grounds the framework in primary sources, JPMorganChase, Sanofi, Walmart, Morgan Stanley, Goldman Sachs, Uber, Lyft, Spotify, Netflix, LinkedIn, DBS, Bloomberg, and the Klarna reversal, and in the public retrospectives of stalled programs at McDonald’s, Air Canada, Zillow, and Klarna’s customer-service automation. The synthesis figure, the operating-model × success-condition interaction matrix, is the report’s original framework contribution.

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From the anchor research

Operating Models & What Success Looks Like

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2 May 2026BriefingLocked
Operating Models and What Success Looks Like
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Operating Models & What Success Looks Like

Key findings

From the anchor research

Filed under Operating Models & What Success Looks Like

Operating Models and What Success Looks Like

How this pillar connects