AI governance at large-group scale
01 · SITUATION
The context
Took over the full AI governance scope for a Corporate division (3 business perimeters, 173 AI use cases). Informal governance on arrival: vague definition of 'delivered', AI use-case portfolio at 23% quality, unusable as a decision-making tool, absent value measurement, structure in full reorganization.
02 · METHOD
Operational governance
Portfolio takeover
Took over the full AI governance scope across 3 business perimeters, tracking 173 use cases, steering operational instances and escalating weak signals.
Governance model redesign
Redesigned the governance model and the AI project managers community framework, resulting in a 15-point delivery acceleration.
Project value measurement
Led ROI and FTE impact modeling across 10+ priority use cases.
Portfolio automation
Drove documentation and Jira Automation of the AI portfolio: quality improved from 23% to 78% in one month, turning an unreliable tracking tool into an actual decision-making asset.
03 · RESULTS
Governed portfolio
Next case
Designing an internal AI platform