Assign responsibility before AI-assisted action
An AI decision authority matrix clarifies use cases, risk levels, AI roles, human reviewers, decision owners, permitted and prohibited actions, escalation, override authority, final authorization, retention, and review frequency.
Build an authority matrix for your use case
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Disclaimer: This matrix is a planning template and does not replace legal, policy, or audit review. It does not issue a compliance certification.
Illustrative governance example—not an approved policy for any specific organization.
| Use case | Risk level | AI role | Human reviewer | Decision owner | Required evidence | Permitted action | Prohibited action | Escalation condition | Override authority | Final authorization | Record-retention requirement | Review frequency |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Operational briefing package | Medium | Draft synthesis across selected models | Named domain reviewer | Accountable program owner | Source list, model IDs, reviewer notes | Prepare review package | Authorize external action without human approval | Material disagreement or missing provenance | Program owner | Program owner after review | Per organizational retention schedule | Quarterly control review |
How teams typically apply the matrix
Start with one high-accountability use case. Define who may prepare, review, reject, escalate, and authorize. Then connect the matrix to operational workflows that can preserve the corresponding records.
Apply these ideas in an operational workflow
Educational resources explain governance concepts. SmartSolo helps teams operationalize review, authorization, and decision records.
See governed AI execution in a live workflow
Review how SmartSolo coordinates multiple AI models, routes human authorization, and preserves the decision record.