Decision inputs
Facts that change the policy answer
The working material is closed support conversations and case metadata; the intended result is a recurring-issue summary. Recording that pair prevents a vague approval from spreading to other uses.
- 1Task and owner
- Support operations lead wants to summarise customer support tickets. Name who owns the finished a recurring-issue summary; ownership should not disappear because AI helped produce it.
- 2Information involved
- Closed support conversations and case metadata. Look beyond pasted text: files, integrations and retrieval connections can expose the same material.
- 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 recurring-issue summary. Record the audience and the next system in the chain, rather than describing the output only as a draft.
- 5Consequence if it is wrong
- Tickets may contain names, account details or private customer circumstances. The policy route should reflect this possible harm instead of relying on how ordinary the task sounds.
- 6Human review
- customer support manager should inspect, change, reject or stop the result. Review is meaningful only when that person has enough context and authority to change the result.
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
A routine route is easier to justify when the exact account is approved, only the minimum customer personal information is used, a recurring-issue summary remains within the stated purpose, and customer support manager reviews it before use.
Approval may be required
A named reviewer should take over when the account or data handling is uncertain, tickets may contain names, account details or private customer circumstances, or a recurring-issue summary reaches people or systems beyond the requester’s authority.
The request may need to stop or change
The policy may require another method where restricted information would enter an unapproved service, the output would act before customer support manager can intervene, or remove direct identifiers and verify each theme against representative cases cannot be maintained. Consider less information, a controlled account or a non-AI process.
Request checklist
Questions to ask before using the tool
- 01
Will summarise customer support tickets run inside the approved company environment from start to finish?
- 02
What is the most sensitive element in closed support conversations and case metadata, and does the tool need it?
- 03
At what point does a recurring-issue summary move beyond the requester’s private draft?
- 04
Who replaces customer support manager 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
- support operations lead
- task
- Use AI to summarise customer support tickets.
- information
- closed support conversations and case metadata
- tool
- An approved company account
- frequency
- Recurring work
- region
- Where the work and affected people are located
- purpose
- Analyse
- impact
- Internal work
- review
- Complete human review
- owner
- customer support manager
Useful safeguards
Controls that fit this request
- ✓
Remove direct identifiers and verify each theme against representative cases
- ✓
Keep whole files, mailboxes and datasets out of the prompt when a short part of closed support conversations and case metadata is enough.
- ✓
Keep the use within analyse and run another check if the audience, tool or intended effect changes.
- ✓
Record the request and reviewer without copying unnecessary parts of closed support conversations and case metadata into the audit trail.
Questions people ask
About this AI use
Is using AI to summarise customer support tickets automatically allowed?
The company policy supplies the answer after it receives the real tool, data, purpose, impact and review plan. This page only prepares those facts.
How specific should the workplace AI request be?
Describe a recurring-issue summary, identify closed support conversations and case metadata, name the exact tool and account, explain who will receive or rely on the output, and state how customer support manager will review it.
What should remain after the decision?
Record the request and reviewer without copying unnecessary parts of closed support conversations and case metadata into the audit trail. A classification and controlled reference may be enough when copying closed support conversations and case metadata would create unnecessary risk.