GOVERNED AI EXECUTION

Human authority belongs inside the workflow.

Governed AI execution means defining what AI may do, what context it may use, when a person must approve an action and what evidence must exist before a workflow is treated as complete.

Four controls that matter

01

Permission

Expose only the tools, data and typed actions required for the workflow.

02

Authority

Separate work AI can prepare or execute from decisions reserved for authorised people.

03

Evidence

Preserve receipts, outputs and resulting state so completion can be checked instead of assumed.

04

Recovery

Make blockers explicit so a workflow can resume from a known state instead of silently duplicating work.

Approval gates are an execution primitive

A human-in-the-loop design is strongest when approval is represented as a real state transition, not an informal instruction in a prompt. The system should know what is waiting, who has authority, what context the reviewer needs and what happens after approval or rejection.

Governance without stopping useful automation

The objective is not to insert a person into every step. Low-risk, reversible or well-bounded work can proceed automatically. Review should concentrate on actions where authority, material consequences or uncertainty require human judgement.

Design the authority boundary before deployment.

Canvryn maps what AI may prepare, what it may execute and where people remain accountable.

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