AI agent governance / Enterprise AI

Make permission explicit at every boundary.

Teams need to know which tools an agent can use, what data it can see and who approves sensitive actions.

How the workflow is designed

  1. 01

    Define agent identity, tool scope and prohibited actions.

  2. 02

    Review policy, approval, permit and kill-switch requirements.

  3. 03

    Evaluate traceability and outcome checks in a bounded workflow.

Before starting

Agree the scope and evidence.

Confirm the SAP environment, authorized access, data boundaries and the outcome that will be reviewed.

Before calling it done

Check the result independently.

Use agreed technical and business checks. Record missing evidence instead of treating an unknown result as success.

A practical next step

Discuss AI agent governance.

Bring a recurring incident, a change challenge or an AI idea. We’ll agree the evidence, boundaries and a useful first outcome.

Talk to VCatchy