Recompute a decision chain
Six published records from a demonstration tenant. Recomputing the chain checks internal consistency; it does not establish who produced it.
Inspect the records and methodIntelXview AI Control Plane
ACP checks requests routed through it against policy and records the decision for review.
Opens the ACP sign-in page.
A proof run, with its limits visible
ACP public evidence screen · 4 October 2026

Before an AI agent acts, what is it authorised to do?
Start with the agent’s identity and authority. Follow the policy decision, then inspect the record it leaves.
Which agent or person is making the request?
What are they allowed to do?
What is the permitted purpose and scope of this job?
Does this request meet the configured rules?
Apply the decision on the route through ACP.
Keep the decision record available for review.
This is an explanation of the control path. Enforcement depends on the configured integration: activity that bypasses ACP is outside this path. Read the product boundary.
Evidence you can inspect
Inspect the example record and the control it demonstrates. Each published artefact states its source, verification method and limits.
View the example evidence recordSix published records from a demonstration tenant. Recomputing the chain checks internal consistency; it does not establish who produced it.
Inspect the records and methodDownload the published pack, verification key and script. Read the signing and provenance limits alongside the result.
Verify the signed packExplore ACP, or describe the agent action you want to evaluate. A proof-of-concept enquiry starts a conversation about your workflow and the evidence you need.
Sign-in opens the product. An enquiry does not book a meeting.
If your immediate question is where sensitive data can enter workplace AI tools, the existing exposure check and assessment remain available.
Explore the assessmentIntelXview builds AI Control Plane to connect policy decisions with inspectable evidence.
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