Execute within boundaries
Run the approved action, verify its result and record it.
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AI & governance
Human oversight of AI-driven processes.
Where to place approvals, how to handle uncertainty and what to record when AI becomes part of daily operations.
When the workflow escalates to a person
Do not route a case using model confidence alone. Combine validation, the impact of the proposed action and the permissions of the workflow.
Source + AI proposal
Valid, permitted and low-impact?
Escalate to the responsible person
Show the original input, proposed action and reason for escalation. Allow correction or rejection.
Shared audit record: input → rule/model → approval → result
Apply the framework to concrete decisions.
Set boundaries
Define the actions an automated workflow may take and the systems it may access. Separate reading data from changing a customer, financial or security record.
Route uncertainty
A confidence score is one input, not a guarantee. Use business rules, validation checks and human review for exceptions. Give reviewers the original source and proposed action.
Record decisions
Record the input reference, applied rule, model version, approval and execution result. Decide retention and access rules with the people accountable for the process.
Readiness check
Is each permitted action explicitly defined?
Can a reviewer see the source and reject the proposal?
Can we reconstruct what happened and why?