AI can act.
Can you prove it acted correctly?
Organisations can have policies, permissions and monitoring in place and still struggle to prove those controls actually worked. WALCROFT independently tests whether the evidence supports the assurance being placed on AI and autonomous agents.
Know what your AI can do — and whether you can rely on the controls.
One executive view of operating AI, authority boundaries, human approvals, connected systems, incidents, evidence and assurance gaps. Risk tells you what could go wrong. WALCROFT RELIANCE STATUS™ tells you whether the available evidence supports relying on the control.
Illustrative data only. A WALCROFT status is an assurance judgement within an agreed scope — not certification, regulatory approval or a guarantee of AI performance.
Not another AI inventory. Not another risk score.
Authority
See what each AI system or agent is actually authorised to do, including financial and operational limits.
Human boundaries
Make approval and escalation points visible, then test whether evidence shows those boundaries operated.
Evidence
Connect management declarations to supporting evidence instead of treating a policy or checkbox as proof.
Incidents
Bring consequential events, overrides and exceptions into the same executive assurance view.
Assurance Gaps
Show exactly where the evidence is missing, contradictory, stale or insufficient for the assurance being claimed.
Reliance Status
Translate the evidence into a clear management question: is there enough support to rely on this control?
Declare → Evidence → Test → Assure.
The dashboard is only useful if the assurance behind it stands up. WALCROFT separates what management says should happen from what the evidence supports and what independent testing can substantiate.
It is: “Can you prove they worked when the AI acted?”
One control room. One evidence trail. One reliance judgement.
The product direction is a recurring SaaS control layer for organisations deploying consequential AI and autonomous agents — with independent WALCROFT assurance sitting behind the management view rather than being reduced to another compliance dashboard.
Help shape independent AI assurance before the market standard is settled.
We are speaking with a small number of organisations using or preparing to use consequential AI and autonomous agents. Design partners can explore the Control Room and assurance approach against a suitable use case and help shape what independent AI assurance needs to deliver in practice.
Design-partner participation does not imply certification, regulatory approval or endorsement.