Pre-pilot diagnostic · one risky action

Can your AI agent prove before it acts?

Choose one real action your agent performs or is about to receive permission to perform. See the current proof coverage, the main control gap, and what a detect-only pilot should validate.

Check one risky action How it works

Runs locally in your browser. Nothing is uploaded or stored.

Example proof chain

Required proofPII checked, customer verified

→

Planned actionexact send_email payload

Main gap: approval is not bound to payload

Decisionallow / block / review

→

Outcome proofprovider receipt or artifact

What this diagnostic generates

A buyer-facing hypothesis map based on your answers. It is not a security audit. The real boundary is validated later against runtime traces in detect-only mode.

Describe one action

Define the action, required proof, current checks, payload identity, retry, and done behavior.

See coverage and confidence

Get a self-reported coverage score, a qualitative level, diagnostic confidence, and the main proof gap.

Scope a pilot

Turn the result into a concrete managed detect-only pilot for one action without blocking production.

Run the diagnostic

Answer about the system as it works today, not how it is intended to work. “Not sure” is a valid answer and lowers diagnostic confidence rather than pretending certainty.

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? *

Choose one action that affects an outside system, customer, record, money, document, or final business claim.

3What level of permission does the agent have today? *

4What triggers this action? *

5Which external system or tool is called? *

6What should be proven before this action is allowed?

These are desired requirements. The next question asks what is actually checked and recorded today.

7How much of that required evidence is actually checked and recorded today? *

8Can you identify the source, timestamp, and result for each evidence item? *

9When is the evidence checked? *

10Is approval or policy tied to the exact payload version that will execute? *

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

11How do you know the action actually happened? *

12After a block or failed execution, what happens on retry? *

13When may the agent claim the task is done? *

Optional context for the report

Complete the required questions before generating the diagnostic.

Your proof-chain diagnosis

The first layer is written for a buyer or workflow owner. Technical details remain available below.

Main proof gap

Assessment

0 / 100

Weak

ConfidenceLow

Pilot valueHigh

Gaps0

Proof chain

Top proof gaps

View all technical gaps

Recommended managed pilot

The copied brief includes this workflow, the primary hypothesis, and a bounded detect-only pilot scope.

Save or share

Explore a managed pilot

Interested in testing OmegaProof on your agent workflow?

Message us on LinkedIn or by email. We will explain how the integration works, define a bounded detect-only scope for one risky action, and agree on a managed pilot.

Message Anton on LinkedIn Email anton.f@synqra.tech

OmegaProof · Agent Action Proof Gap Report

Proof Gap Report

Self-reported proof coverage

0 / 100

Weak

Confidence: Low
Pilot value: High

Workflow proof map

Proof gaps

Managed detect-only pilot recommendation

Next step

Discuss an OmegaProof pilot

Interested in testing OmegaProof on this workflow? Contact Anton Fedotov. We will explain how the integration works, define a bounded detect-only scope for one risky action, and agree on a managed pilot.

LinkedIn: https://www.linkedin.com/in/anvifedotov/
Email: anton.f@synqra.tech