Verdify

Assessment

3-minute AI Learning Loop Risk Check.

Score a candidate workflow in the browser before you pick a learning-loop audit, agentic workflow sprint, private eval, or control-matrix exercise. Send the result to Verdify only when you want follow-up.

Discuss your workflow Use the Control Matrix

Not ready to score a workflow? Browse all enterprise AI resources.

Workflow scorer

Enter the workflow shape.

The score is directional. It is meant to surface controls, approval, telemetry, feedback, private eval, and first-engagement needs, not to approve a build. Name and email are only required if you send the result to Verdify.

Where does the workflow operate?
What might AI do?
What would be unacceptable if AI got it wrong?
How clear are approvals, feedback, and measurement today?

Output frame

The answer should suggest fit, controls, feedback, and first engagement.

Low-risk candidate

Internal, reversible, draft or classification work with clear reviewers and visible source data.

Medium-risk candidate

Customer-facing or system-adjacent work where AI can recommend or draft, but approval and logs are required.

High-risk candidate

Regulated, physical-world, financial, quality, or irreversible action where AI authority should stay narrow.

Use this check before choosing a pilot.

Good fit when

You have a specific workflow in mind.
You can name the systems AI would need to read.
You know which actions would be unacceptable if wrong.
You want to decide whether a learning-loop audit or agentic workflow sprint comes first.

Not a fit when

You only have a broad AI idea with no workflow owner.
The team cannot name approvals or exceptions.
The workflow has no measurable outcome.
You want AI to execute consequential actions without controls.

FAQ

Common buyer questions.

Does the risk check send my answers to Verdify?

Scoring runs in your browser. Verdify only receives the result if you add your name and email, then use the Send Result button.

What makes a workflow high risk?

Customer-facing, regulated, financial, quality, physical-world, irreversible, or system-of-record actions usually require stronger controls, approval paths, telemetry, private evals, and feedback capture.

What should I do with the score?

Use it to decide whether the next step is the Control Matrix, an AI Learning Loop Audit, private eval work, or a narrow Agentic Workflow Design Sprint.