H2H resource
Example AI Governance Pilot Measurement Plan
Illustrative composite example. Not customer work, performance proof, or a guaranteed outcome.
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See what the artifact helps you discuss before requesting access.
An illustrative measurement plan for developer-agent access to repositories and deployment tools.
Intended reader: CISOs, CIOs, AI governance leaders, risk teams, and engineering leaders defining a bounded control pilot.
Explore AI governance and agentic securityAssurance protocol
What this helps your team discuss
What are we trying to prove, and what evidence would make the outcome complete?
What you will carry into the room
Know what this helps your team decide.
- What a governance pilot is trying to prove before expansion
- How control dispositions, high-risk execution, and trace completeness are evaluated separately
- Which evidence gaps prevent an outcome from being complete
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Inside the resource
- Pilot and authority boundary
- Signed control scenarios and expected behavior
- Baselines and targets
- Decision-trace evidence, ownership, and signoff
Selected preview
Pilot evidence gate
The plan keeps risk reduction separate from labor value and evaluates control outcomes only inside the agreed pilot boundary.
- Instrumented workflows divided by agreed pilot workflows
- Expected disposition conformance and unapproved high-risk executions
- Complete decision traces divided by sampled decisions
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Internal discussion
What this artifact helps you discuss.
Use this plan with security and AI governance leaders before approving a control pilot.
Use the example with business, security, governance, and technical owners before a bounded control pilot. Freeze the scope, test set, policy version, sampling method, evidence owner, and signoff role before interpreting outcomes.
Before you begin
Access the example pilot measurement plan.
Review an illustrative governance pilot protocol for scope, control scenarios, baselines, targets, evidence, and signoff.