Decision inputs
Facts that change the policy answer
The request sits in software engineering and connects timelines, logs, alerts and deployment changes with a possible incident narrative and causes. That context distinguishes it from a generic permission to use AI.
- 1Task and owner
- Incident commander wants to analyse a production incident. Name who owns the finished a possible incident narrative and causes; ownership should not disappear because AI helped produce it.
- 2Information involved
- Timelines, logs, alerts and deployment changes. The classification must cover what the tool can retrieve as well as what the requester types.
- 3Tool and account
- An approved company account. Confirm the approved account, retention setting and any connected service before the request begins.
- 4Intended result
- The expected result is a possible incident narrative and causes. Record the audience and the next system in the chain, rather than describing the output only as a draft.
- 5Consequence if it is wrong
- Sensitive operational data and early assumptions can be mistaken for confirmed cause. A familiar task still needs escalation when this consequence becomes plausible.
- 6Human review
- incident commander should inspect, change, reject or stop the result. Their role should include checking source facts, correcting errors and refusing the proposed use.
Possible policy routes
The task name alone cannot decide it.
A published workplace policy can return different answers for the same task. These are the practical branches worth encoding.
A routine policy route may be possible
The company can consider a standard route where the exact account is approved, only the minimum sensitive operational data is used, a possible incident narrative and causes remains within the stated purpose, and incident commander reviews it before use.
Approval may be required
A named reviewer should take over when the account or data handling is uncertain, sensitive operational data and early assumptions can be mistaken for confirmed cause, or a possible incident narrative and causes reaches people or systems beyond the requester’s authority.
The request may need to stop or change
The company may need a safer design when restricted information would enter an unapproved service, the output would act before incident commander can intervene, or label hypotheses, preserve source evidence and approve the final incident report cannot be maintained. Consider less information, a controlled account or a non-AI process.
Request checklist
Questions to ask before using the tool
- 01
Does the selected account retain or reuse anything supplied while trying to analyse a production incident?
- 02
Can any personal, sensitive, confidential or secret part of timelines, logs, alerts and deployment changes be removed?
- 03
Could someone treat a possible incident narrative and causes as final even though it was generated as assistance?
- 04
Who replaces incident commander when the request falls outside ordinary expertise?
- 05
Which change in tool, data, purpose or impact would require a fresh request?
Worked request
What the employee should submit
This example supplies decision facts without pasting the underlying material into the approval record.
- requester
- incident commander
- task
- Use AI to analyse a production incident.
- information
- timelines, logs, alerts and deployment changes
- tool
- An approved company account
- frequency
- Recurring work
- region
- Where the work and affected people are located
- purpose
- Analyse
- impact
- Operational response
- review
- Complete human review
- owner
- incident commander
Useful safeguards
Controls that fit this request
- ✓
Label hypotheses, preserve source evidence and approve the final incident report
- ✓
Keep whole files, mailboxes and datasets out of the prompt when a short part of timelines, logs, alerts and deployment changes is enough.
- ✓
Write the boundary around a possible incident narrative and causes clearly so later users do not expand the approval by assumption.
- ✓
Keep the submitted facts, incident commander’s decision and the exact published policy version.
Questions people ask
About this AI use
Is using AI to analyse a production incident automatically allowed?
The task name cannot settle the answer. Apply the company’s published rules to timelines, logs, alerts and deployment changes, the exact account, a possible incident narrative and causes, its audience and the proposed review.
What belongs in the employee’s request?
Describe a possible incident narrative and causes, identify timelines, logs, alerts and deployment changes, name the exact tool and account, explain who will receive or rely on the output, and state how incident commander will review it.
Which evidence makes the answer reproducible?
Keep the submitted facts, incident commander’s decision and the exact published policy version. A classification and controlled reference may be enough when copying timelines, logs, alerts and deployment changes would create unnecessary risk.