Decision inputs
Facts that change the policy answer
Here the tool receives current manuals, examples and learning objectives, while someone ultimately relies on a shorter learner reference. The policy must evaluate the whole path between them.
- 1Task and owner
- Technical trainer wants to summarise technical training material. The request needs an accountable owner for a shorter learner reference, even when the tool prepares most of the first draft.
- 2Information involved
- Current manuals, examples and learning objectives. Include attachments and connected sources when deciding the highest information classification.
- 3Tool and account
- An approved company account. The request should identify the exact account because product-level approval leaves important controls unknown.
- 4Intended result
- The expected result is a shorter learner reference. Its destination matters: private working material creates a different consequence from a sent, published or automated result.
- 5Consequence if it is wrong
- Compression can remove warnings, prerequisites or edge cases. The policy route should reflect this possible harm instead of relying on how ordinary the task sounds.
- 6Human review
- technical subject-matter owner 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
The company can consider a standard route where the exact account is approved, only the minimum internal technical information is used, a shorter learner reference remains within the stated purpose, and technical subject-matter owner reviews it before use.
Approval may be required
Send the request for approval if the account or data handling is uncertain, compression can remove warnings, prerequisites or edge cases, or a shorter learner reference 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 technical subject-matter owner can intervene, or retain safety notes, version details and links to the complete source cannot be maintained. Consider less information, a controlled account or a non-AI process.
Request checklist
Questions to ask before using the tool
- 01
Is the exact account approved for summarise technical training material, including its plug-ins and connected sources?
- 02
Could current manuals, examples and learning objectives be reduced to a short de-identified extract?
- 03
At what point does a shorter learner reference move beyond the requester’s private draft?
- 04
Will technical subject-matter owner review before the result is sent, published or acted upon?
- 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
- technical trainer
- task
- Use AI to summarise technical training material.
- information
- current manuals, examples and learning objectives
- tool
- An approved company account
- frequency
- Recurring work
- region
- Where the work and affected people are located
- purpose
- Draft or analyse
- impact
- Employee training
- review
- Complete human review
- owner
- technical subject-matter owner
Useful safeguards
Controls that fit this request
- ✓
Retain safety notes, version details and links to the complete source
- ✓
Separate source material from the request record and expose only what the tool needs for a shorter learner reference.
- ✓
Write the boundary around a shorter learner reference clearly so later users do not expand the approval by assumption.
- ✓
Preserve who accepted a shorter learner reference, when they did so and which rule version they applied.
Questions people ask
About this AI use
Is using AI to summarise technical training material 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.
What belongs in the employee’s request?
Describe a shorter learner reference, identify current manuals, examples and learning objectives, name the exact tool and account, explain who will receive or rely on the output, and state how technical subject-matter owner will review it.
How should a later reviewer understand this decision?
Preserve who accepted a shorter learner reference, when they did so and which rule version they applied. A classification and controlled reference may be enough when copying current manuals, examples and learning objectives would create unnecessary risk.