Design Pattern · September 2026
An AI credential
Represent trust as evidence about a narrow capability, approved sources, authority, incidents, and recertification.
Under the pillar Unbundling Work, Credentials, and Liability
Inputs
Worker version, intended population, test cases, sources, tools, policy, owner, and incident history.
Method
Record tested capability, data rules, allowed action, review, escalation, outcome performance, adversarial tests, dependencies, jurisdiction, and expiry.
Output
A task specific credential that can be narrowed, suspended, or renewed.
Boundary
This is an operating record, not a professional license or legal credential.
Stop
Suspend it when a material dependency changes, performance falls, or the worker enters an untested setting.
Put this to work
An AI credential application record
Apply An AI credential to a real piece of work and record what happened.
- For
- Operators redesigning a team, service, or AI workforce.
- What you keep
- A an ai credential application record you can review, revise, and send.
- What counts as sound
- Names a real setting
- Shows the work before and after
- Records exceptions
- Uses an observable result
- Ends with keep, revise, or stop
Do not infer that a task can move merely because it can be described.
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