← An AI operating model for a bank Self-assessment For each point, answer honestly for your organization today: yes, partly or no. You get a score, a readiness band and the three gaps to close first. It runs in your browser; nothing is sent or stored.
1 Name one accountable leader and a federated model One person can answer for the whole portfolio, and every use case has a named business owner.
2 Run a portfolio, not a pile of pilots There is one list of AI use cases, each with a baseline, a target and a stop rule.
3 Build the platform before the twentieth use case New use cases reuse the platform's gateway, evaluation and logging instead of building their own.
4 Tier use cases by risk and set controls by tier Every use case has a risk tier, and the tier decides its controls and approvers.
5 Bring model risk in at design, not at launch Model risk reviewers see each high-tier use case at design, with a standard evidence pack.
6 Treat evaluation as a product No use case reaches production without an evaluation suite that runs automatically.
7 Give knowledge an owner Every knowledge source an agent reads has an owner and a review date.
8 Plan for the bad day Every production use case has a kill switch, an incident runbook and a rehearsal date.
9 Invest in fluency, not only tools Leaders, engineers and risk partners each have a role-specific AI curriculum.
10 Measure outcomes and cost per task The portfolio report shows outcomes and unit cost for each use case every quarter.
Your result Answer all 10 points to see your score. 10 to go.