Pre-pilot diagnostic · one risky action

Can your AI agent prove before it acts?

Pick one real action your agent can perform. This diagnostic maps the proof chain and shows where evidence, payload binding, commit, retry, or done proof breaks.

Check one risky action How it works

Generated proof chain

EvidencePII checked, customer verified

→

Planned actionsend_email payload

Proof gap: no payload binding

Decisionallow / block / review

→

Commitprovider outcome

What this generates

A lightweight, buyer-facing proof gap map. It is a hypothesis map, not a full security audit. The next step is validating it against real traces in detect-only mode.

Answer 10 questions

Choose one workflow, one risky action, evidence sources, timing, payload handling, retry, and done proof.

See the proof map

The tool turns your answers into a visual chain: trigger → evidence → action → decision → commit → done.

Download the report

Export a short Agent Action Proof Gap Report and use it to discuss a detect-only OmegaProof pilot.

Run the diagnostic

Start with one concrete action. Avoid secrets, credentials, customer data, or proprietary code in this form.

Team / company name optional

Report owner optional

1What type of AI-agent workflow are you checking?

2What is one real action your agent can perform?

Pick one action that affects an outside system, customer, record, document, payment, or final claim.

3What triggers this action?

4Which external system or tool is called?

5What must be true before this action is allowed?

These become the first draft of the proof contract.

6Where does that evidence usually come from?

7When is the evidence checked?

8Is the exact payload frozen or identified before approval/check?

Payload means the exact email body, CRM mutation, export request, refund amount, file, API body, or final artifact.

9How do you know the action actually happened?

10What happens on retry, block, error, or final “done”?

Fresh planned action required Old action can be reused Agent retries automatically Human handles exceptions Artifact / outcome checked before done Agent can say done without artifact proof Not sure

Can your AI agent prove before it acts?

What this generates

Answer 10 questions

See the proof map

Download the report

Run the diagnostic

Generated proof map

Proof gaps

Recommended next step

Proof Gap Report

Workflow proof map

Proof gaps

Detect-only pilot recommendation