AI Governance Policy & Decision Workshop
A policy tells people what’s allowed. Governance decides who decides.
AI adoption, enterprise AI policy, generative-AI use, AI vendor decisions, privacy concerns, or a board asking how AI is governed: the workshop establishes the decision-making system, not just the document.
Most organizations respond to AI with a policy document: permitted tools, a few prohibitions, an acceptable-use memo. Few have answered the harder question underneath it.
How will the organization govern AI decisions, not merely write an AI policy?
When to use it
Before the policy is written, or after it stops being enough.
AI adoption, enterprise AI policy, generative-AI use, AI vendor decisions, privacy and data concerns, or a board asking for AI governance, each of these is a decision-rights problem before it is a documentation problem.
What the workshop scopes
The decisions an AI governance system has to be able to make.
- Permitted uses
- Authorization
- Risk acceptance
- Data & privacy
- Human oversight
- Vendors & models
- Monitoring
- Exceptions
- Escalation
- Suspension & reauthorization
What you'll receive
A decision framework leadership can actually govern by.
- AI Governance Decision Framework
- Governance requirements matrix
- Decision-rights model
- Policy requirements
- Escalation & exception model, as scoped
Where leadership goes next
Some organizations leave the workshop ready to finalize policy internally. Others move into fuller governance implementation, or into an ongoing Governance Watch relationship to keep pace as AI use expands across the organization.
The policy is the artifact. The governance is what makes it hold.
Governing a live transformation, not just AI adoption?
Explore Technology Governance ReadinessGovern the decision, not just the tool