Decision inputs
Facts that change the policy answer
The working material is payment activity, account history and fraud indicators; the intended result is a fraud investigation priority. Recording that pair prevents a vague approval from spreading to other uses.
- 1Task and owner
- Fraud operations analyst wants to triage possible payment fraud. Responsibility for a fraud investigation priority stays with a named person or team throughout the request.
- 2Information involved
- Payment activity, account history and fraud indicators. Check uploads, history and connected systems before describing the request as low sensitivity.
- 3Tool and account
- An approved company account. Treat a new plug-in or connector as a change to the approved setup.
- 4Intended result
- The expected result is a fraud investigation priority. The policy needs to know what happens after generation, including publication, communication and automated use.
- 5Consequence if it is wrong
- False positives can block legitimate customers while false negatives create loss. Use this consequence to distinguish a routine request from one needing specialist approval.
- 6Human review
- fraud decision owner should inspect, change, reject or stop the result. A final glance after an automatic action would not give that owner meaningful control.
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 lower-friction route begins when the exact account is approved, only the minimum sensitive customer financial information is used, a fraud investigation priority remains within the stated purpose, and fraud decision owner reviews it before use.
Approval may be required
Send the request for approval if the account or data handling is uncertain, false positives can block legitimate customers while false negatives create loss, or a fraud investigation priority reaches people or systems beyond the requester’s authority.
The request may need to stop or change
A stop or redesign route becomes relevant if restricted information would enter an unapproved service, the output would act before fraud decision owner can intervene, or treat the model as one input and provide human review for consequential restrictions 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 triage possible payment fraud run inside the approved company environment from start to finish?
- 02
Does the proposed input include more of payment activity, account history and fraud indicators than the result actually requires?
- 03
Does a fraud investigation priority create an external statement, a decision or an automated action?
- 04
Will fraud decision owner review before the result is sent, published or acted upon?
- 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
- fraud operations analyst
- task
- Use AI to triage possible payment fraud.
- information
- payment activity, account history and fraud indicators
- tool
- An approved company account
- frequency
- Recurring work
- region
- Where the work and affected people are located
- purpose
- Analyse
- impact
- Customer account restriction
- review
- Complete human review
- owner
- fraud decision owner
Useful safeguards
Controls that fit this request
- ✓
Treat the model as one input and provide human review for consequential restrictions
- ✓
Keep whole files, mailboxes and datasets out of the prompt when a short part of payment activity, account history and fraud indicators is enough.
- ✓
Treat a new purpose, region, data source or recipient as a new request rather than silently extending this one.
- ✓
Make the final route reproducible from the recorded facts, safeguards and policy version.
Questions people ask
About this AI use
Is using AI to triage possible payment fraud automatically allowed?
Even an ordinary triage possible payment fraud request can change route when it involves restricted information, an external audience or weak review.
How specific should the workplace AI request be?
Describe a fraud investigation priority, identify payment activity, account history and fraud indicators, name the exact tool and account, explain who will receive or rely on the output, and state how fraud decision owner will review it.
What belongs in the completed policy record?
Make the final route reproducible from the recorded facts, safeguards and policy version. A classification and controlled reference may be enough when copying payment activity, account history and fraud indicators would create unnecessary risk.