The 5 Dimensions Explained
The assessment scores your team along five dimensions. Each dimension is independent. A strong score in one does not predict the others. The dimensions are intentionally orthogonal so the report points to a real next move rather than a generic recommendation.
1. Leadership
Executive buy-in, sponsorship, and strategic direction for AI. A strong score here means your top team has named an outcome AI is supposed to drive, has assigned a sponsor, and has communicated this direction to the people doing the work.
Common gap: AI experiments running without an executive sponsor who can clear obstacles.
2. Governance
Policies, risk management, and decision rights for AI use. A strong score here means there is a clear answer to "what AI use is OK, who decides, and what gets logged."
Common gap: nobody can name who approves a new AI use case.
3. Use Cases
How AI is identified, prioritized, and applied to real work. A strong score means there is a deliberate process for picking which problems get AI and which do not, and the picks are tied to outcomes you actually measure.
Common gap: use cases are picked because the tool was available, not because the problem mattered most.
4. Workflow
Integration of AI into day-to-day team workflows. A strong score means AI use is the default path, documented, and survives turnover. A weak score means AI dies when the one champion leaves.
Common gap: AI use is "tribal", undocumented and stuck in one person's head.
5. Measurement
How AI outcomes are tracked, evaluated, and improved. A strong score means you can answer "did this AI work?" with a number. A weak score means you have anecdotes.
Common gap: nobody has decided what "good" looks like, so nothing is ever finished.