Map policy to real decisions.
Begin with the real work, the people involved and a clear definition of what a useful outcome would be.
AI Governance
Confidence begins with clarity.
Bring policy into the actual workflow. Identify what people may delegate, what needs approval and what evidence should remain when an action is complete.
Start a conversationSHAPE A USEFUL FIRST STEP
The right questions.
A considered beginning.
Agree the human review points.
Confirm the information, connections and permissions needed to support this part of the workflow.
Keep ownership and evidence visible.
Use representative examples to test the approach with the people who will own and operate it.
THE CHECKPOINT
Every request,
through the right gates.
Requests from agents and people pass the gates in order. Most clear them, some wait for a person, and every decision is written into the ledger. Choose a request to follow it.
The gates, in order
- Policy. Which of your policies applies here?
- Delegation. Is this work people may delegate?
- Approval. Does a named person need to say yes?
- Evidence. What should remain once it is done?
Decision ledgerChoose a request to follow it
- Person
- Agent
- Service
PART OF A CONSIDERED WHOLE
Connected through Mesh.
The control layer for your AI estate. Bring identities, permissions, policy and evidence into the same picture, wherever your agents operate.
A starting point for discovery. Specific capabilities, integrations and deployment requirements are agreed with your team.