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Model Risk & Audit

Follow one model decision. The demo uses sample profiles, scores, and rates.

Configure the sample

About use caseThe job the model needs to do.

Document the intended use, expected output, failure cases, and uses that should be prohibited.

About data classificationHow sensitive the inputs are.

List the data the model can see. Decide what to redact, retain, and record in logs.

About deployment boundaryWhere the model can run.

Record approved processing locations and verify network access, data storage, and outbound restrictions.

About model profileAn illustrative model configuration.

Record the actual model, version, method, and intended use. Public benchmarks help shortlist candidates. Validate with representative data inside your approved environment.

About human review thresholdThe demo routes scores at or above this value to a reviewer.

Use local validation evidence to set a real threshold. Document overrides, reviewer authority, and what to monitor after launch.

Selection and review

View model decision flow ↓
  1. Classify input
  2. Evaluate model
  4. Record evidence

Preview the delivery package

  1. Classify sample request
  2. Select model within deployment boundary
  3. Compare risk score with threshold
  4. Human reviewAutomated validation
  5. Record decision and evidence

    Find the right controls for your workflow

    Envoy · A few answers will help me suggest what to document first.

    Choose who needs to trust the workflow to see a suggested next step.