Decision inputs
Facts that change the policy answer
The working material is role, skills profile and learning catalogue; the intended result is a suggested learning sequence. Recording that pair prevents a vague approval from spreading to other uses.
- 1Task and owner
- Learning partner wants to build a personalised employee learning plan. Name who owns the finished a suggested learning sequence; ownership should not disappear because AI helped produce it.
- 2Information involved
- Role, skills profile and learning catalogue. Check uploads, history and connected systems before describing the request as low sensitivity.
- 3Tool and account
- An approved company account. Approval must cover the account and its settings, not merely the product name.
- 4Intended result
- The expected result is a suggested learning sequence. Follow the result to its real endpoint so the request captures its practical effect.
- 5Consequence if it is wrong
- Skills inferences can become an unofficial judgement about performance. The policy route should reflect this possible harm instead of relying on how ordinary the task sounds.
- 6Human review
- employee and line manager should inspect, change, reject or stop the result. The reviewer needs the source material and must be able to reject the output before it takes effect.
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 request may fit ordinary policy handling once the exact account is approved, only the minimum employee personal information is used, a suggested learning sequence remains within the stated purpose, and employee and line manager reviews it before use.
Approval may be required
The request moves beyond routine handling when the account or data handling is uncertain, skills inferences can become an unofficial judgement about performance, or a suggested learning sequence 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 employee and line manager can intervene, or let the employee correct the profile and keep the plan developmental 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 build a personalised employee learning plan run inside the approved company environment from start to finish?
- 02
What is the most sensitive element in role, skills profile and learning catalogue, and does the tool need it?
- 03
Does a suggested learning sequence create an external statement, a decision or an automated action?
- 04
Can employee and line manager inspect the complete result and its source before reliance?
- 05
Is this genuinely one request, or will repeated use turn it into an embedded process?
Worked request
What the employee should submit
This example supplies decision facts without pasting the underlying material into the approval record.
- requester
- learning partner
- task
- Use AI to build a personalised employee learning plan.
- information
- role, skills profile and learning catalogue
- tool
- An approved company account
- frequency
- Recurring work
- region
- Where the work and affected people are located
- purpose
- Analyse
- impact
- Employee development
- review
- Complete human review
- owner
- employee and line manager
Useful safeguards
Controls that fit this request
- ✓
Let the employee correct the profile and keep the plan developmental
- ✓
Separate source material from the request record and expose only what the tool needs for a suggested learning sequence.
- ✓
Reassess the request whenever its tool, information classification, frequency or consequence changes.
- ✓
Record the request and reviewer without copying unnecessary parts of role, skills profile and learning catalogue into the audit trail.
Questions people ask
About this AI use
Is using AI to build a personalised employee learning plan 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 suggested learning sequence, identify role, skills profile and learning catalogue, name the exact tool and account, explain who will receive or rely on the output, and state how employee and line manager will review it.
How much of the request should the company retain?
Record the request and reviewer without copying unnecessary parts of role, skills profile and learning catalogue into the audit trail. A classification and controlled reference may be enough when copying role, skills profile and learning catalogue would create unnecessary risk.