Quick answer
An operational AI governance framework connects each permitted action to an accountable owner, a control, and evidence that the control works. For one workflow, keep a current record of its purpose, data access, approved actions, release decision, and recovery responsibilities. Revisit that record whenever the work or the system changes.
Start with a decision someone has to own
A team wants its AI assistant to start updating customer records. Who can authorize that change? What must they see first? Who can stop it tomorrow? These questions give a governance discussion a useful starting point: one proposed capability and the people affected by it.
NIST’s AI Risk Management Framework organizes risk work through Govern, Map, Measure, and Manage. Its companion Playbook offers voluntary suggestions to select for your context; NIST explicitly says it is not an exhaustive checklist. The worksheet below is PlatformBridge’s application to a single business workflow, not a NIST checklist or certification.
Inventory the workflow and its actual reach
Give the workflow a stable name and link its business owner to the deployed version. Record the input sources, model service, retrieved information, tools, destination systems, and users it can affect. Include credentials and permissions by reference to their managed records; never put secret values in the inventory.
Keep three action lists: requested, approved, and live. A requested ability to issue a credit is not permission to issue one. An approved ability is not evidence that it is configured correctly. Compare the live permissions and behavior with the approval record before launch and after changes.
- Purpose: which business task is in scope, and which uses are excluded?
- Data boundary: which records may it read, where are they processed, and who authorizes that access?
- Action boundary: what may it propose, write, send, or trigger downstream?
- Dependencies: which people, systems, and suppliers must be available for it to operate?
Put an owner beside every control
Use this as a working record beside the implementation plan. Replace each role with a named person and deputy, link the evidence, and set an actual review date. The person building a control can explain its behavior; the person authorized to accept the business consequences must make the release decision.
| Accountable owner | Control to agree | Evidence to retain | Review trigger |
|---|---|---|---|
| Process owner | Permitted actions and excluded cases | Approved action list with decision and date | New use, action, or affected group |
| System or data owner | Approved sources, access, and destinations | Permission review and data-flow record | New source, provider, or access scope |
| Engineering owner | Enforced limits and recovery behavior | Versioned tests and destination checks | Model, tool, rule, or integration change |
| Operations lead | Review coverage and escalation | Staffed rota and exception walkthrough | Queue growth or loss of coverage |
| Authorized release owner | Conditions for launch and expansion | Signed decision, limitations, and open issues | Expansion or missed acceptance condition |
| Incident lead | Pause, case reconciliation, and restart | Recovery exercise and incident record | Unexpected action or uncertain system state |
Approve a specific version with specific limits
A release decision should identify what is being enabled, the version tested, who accepted it, and the limits of that acceptance. Attach the relevant test results, unresolved failures, permission checks, operator feedback, and evidence that pause and recovery work. Record a rejection or a narrower release as clearly as an approval.
Make conditions enforceable. If approval covers draft orders only, the runtime should lack authority to submit them. If release depends on staffed review, define what happens outside those hours. A condition buried in a meeting note cannot control a running system.
Requested
Describe the action, value, and affected people.
Approved
An authorized owner accepts a tested scope and its limits.
Enabled
Engineering confirms that live access matches the decision.
Reviewed
Operations checks actual use and reports exceptions.
A pause stops new actions; requests already sent may still need reconciliation. Restart needs its own decision after affected cases are checked.
Illustrative example: drafting orders from email
Consider a fictional distributor whose staff copy emailed purchase orders into an ERP. The proposed assistant reads a designated inbox, extracts order details, and prepares a draft. This is an illustrative design exercise, not a customer deployment or measured result.
The sales operations owner approves drafts for existing customers with recognized product codes. Creating customers, choosing substitute products, changing prices, and submitting orders remain outside scope. The ERP owner provides a role limited to drafting; ambiguous matches go to the sales team. The release record links tests showing that prohibited actions are blocked, alongside examples operators can complete.
Later, a manager requests automatic submission for repeat orders. That changes the action boundary, even if the model and extraction prompt stay identical. Keep the request pending while the process owner assesses consequences, engineering tests the new controls, and operations agrees exception coverage. The earlier draft approval does not carry over.
Review changes when they affect the decision
Ask the engineering owner to describe which acceptance assumptions a change could invalidate. A different model needs evidence for the affected behavior; a new data provider needs a data-boundary review. Removing an approval, widening access, or serving a different group also needs the relevant owner’s authorization before release.
Routine changes can follow a documented maintenance path when they preserve the approved scope and pass the agreed checks. Set periodic reviews as well: compare live actions with approvals, examine operator concerns, and check that owners and deputies are still available. Record what changed and why the current decision remains appropriate.
Decide who can pause—and who can restart
Name someone with authority and access to stop new actions immediately. Assign separate responsibility for finding affected cases, checking destination records, arranging manual handling, and communicating with the people affected. Stopping intake does not cancel requests already sent or repair earlier updates.
For the order assistant, a suspected wrong-customer draft should trigger containment and a search for other affected drafts. Check which records were saved before retrying anything. The incident lead records the impact and recovery; the authorized release owner decides whether the evidence supports restarting, narrowing, or retiring the workflow.
NIST’s Core includes responsibility for disabling systems and processes for incident response, recovery, and communication. The operating decision remains yours: specify who can act, what state must be checked, and what evidence permits resuming work.
Sources & further reading
Primary documentation for the technical points cited above. The decision frameworks and illustrative examples are PlatformBridge’s editorial guidance.