Weekly frameworks for the leaders who have to make AI decisions defensible: approvals, exceptions, AI inventory, vendor risk, and what the board actually sees.
For AI, risk, legal, compliance, and technology leaders in the enterprise.
1000+ readers
Exceptions, risk acceptance, and who actually has the authority to decide.
Reassessment triggers for AI systems that keep changing after sign-off.
Due diligence that goes beyond the vendor's assurances.
Dashboards that show leadership what changed and what needs a decision.
Templates you can put to work this week.
Who decides, who is consulted, and who is accountable for AI decisions.
The first 30 days of building an enterprise AI governance program.
What changed. Does it matter. Who needs to look again.
Structured questions for evaluating AI vendors before you commit.
An independent publication on how AI governance works in practice after the policy is written.
It is written by an enterprise AI strategy practitioner and researcher who has helped large organizations build and operationalize AI governance.
Each issue takes a real governance problem and turns it into a framework you can use: who decides, what gets documented, when to look again, and what leadership needs to see.
One AI governance framework in your inbox every Monday.