Risk - ROI - Execution
Maciej Stolarski
Independent AI governance advisor for supervisory boards and management boards.
I help boards and management teams look at AI as a decision about capital, risk, accountability and execution, not only as a technology project.
Co-Founder Mill AI, former Chief AI Officer at WeNet, Executive MBA, Supervisory Board Program at Kozminski University
Perspective
AI governance for boards
Maciej Stolarski works at the intersection of AI, operating model, risk, ROI and governance. As Chief AI Officer at WeNet, he worked on moving AI from experiments and tools into strategy, processes and governance. Today, he co-builds Mill AI, where companies are designed from the beginning around an AI-native operating model.
The key question is whether a board and management team understand where AI creates value, where it creates risk, who is accountable and whether the organization can execute beyond pilots.
Framework
Risk, ROI, accountability and execution
Risk
What operational, regulatory, reputational and quality risks does the AI use case create?
ROI
Where does AI change cost, speed, quality, revenue or organizational capability?
Accountability
Who owns data, vendors, models, human oversight and outcomes?
Execution
Can the organization move from pilot to operating model?
Confidential contact
Send a short note with the context
If the topic concerns AI governance, board oversight, AI strategy, AI risk, ROI or execution, send a short note with the context. The Polish checklist is available as a secondary reference for board-level questions.