Assurance Radar.

Required input fields.

• Governance ownership (required): Weak or unknown, Partial, Strong and evidenced
• Data controls (required): Weak or unknown, Partial, Strong and evidenced
• Model transparency (required): Weak or unknown, Partial, Strong and evidenced
• Security controls (required): Weak or unknown, Partial, Strong and evidenced
• Monitoring and drift response (required): Weak or unknown, Partial, Strong and evidenced
• Human oversight (required): Weak or unknown, Partial, Strong and evidenced
• Incident readiness (required): Weak or unknown, Partial, Strong and evidenced
• Vendor evidence (required): Weak or unknown, Partial, Strong and evidenced

Data handling: this interface uses the L2ET protected same-origin instrument engine. Do not enter confidential, regulated, privileged, incident, medical or sensitive operational data.

Radar logic.

Normalizes eight assurance dimensions into a radar profile, highlights dimensions below review threshold, and maps each weak axis to evidence artifacts.

Source families

Assumptions

• Scores depend on user-entered maturity judgments.
• Dimensions are intentionally broad and require evidence review.
• Equal weighting is used unless a high-impact context is selected.

AI assurance maturity radar.

The generated artifact includes findings, assumptions, limitations, recommended next actions and exportable structured output.

Export options

Example input and output.

Example input

A workflow copilot has partial governance, weak vendor evidence and weak incident readiness.

Example output

Radar shows vendor evidence, incident readiness and monitoring as weakest dimensions; next artifacts include model card, vendor evidence pack and incident playbook.