Decision inputs
Facts that change the policy answer
The request sits in customer service and sales and connects customer questions, approved knowledge and conversation context with an immediate customer-facing answer. That context distinguishes it from a generic permission to use AI.
- 1Task and owner
- Digital support owner wants to answer customers through an AI chatbot. Responsibility for an immediate customer-facing answer stays with a named person or team throughout the request.
- 2Information involved
- Customer questions, approved knowledge and conversation context. 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 an immediate customer-facing answer. Record the audience and the next system in the chain, rather than describing the output only as a draft.
- 5Consequence if it is wrong
- The bot may give an incorrect commitment or handle a sensitive case without escalation. Use this consequence to distinguish a routine request from one needing specialist approval.
- 6Human review
- customer support owner should inspect, change, reject or stop the result. Make the review happen before reliance and give the reviewer a real way to stop the work.
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 information is used, an immediate customer-facing answer remains within the stated purpose, and customer support owner reviews it before use.
Approval may be required
Send the request for approval if the account or data handling is uncertain, the bot may give an incorrect commitment or handle a sensitive case without escalation, or an immediate customer-facing answer 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 owner can intervene, or limit covered topics, disclose automation where appropriate and provide a reliable human handoff 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 answer customers through an AI chatbot, including its plug-ins and connected sources?
- 02
Who is permitted to expose customer questions, approved knowledge and conversation context to this tool and for this purpose?
- 03
At what point does an immediate customer-facing answer move beyond the requester’s private draft?
- 04
Can customer support owner inspect the complete result and its source before reliance?
- 05
When must the employee stop and run the policy check again?
Worked request
What the employee should submit
This example supplies decision facts without pasting the underlying material into the approval record.
- requester
- digital support owner
- task
- Use AI to answer customers through an AI chatbot.
- information
- customer questions, approved knowledge and conversation context
- tool
- An approved company account
- frequency
- Recurring work
- region
- Where the work and affected people are located
- purpose
- Draft or analyse
- impact
- Automated external communication
- review
- Escalation and sampled review
- owner
- customer support owner
Useful safeguards
Controls that fit this request
- ✓
Limit covered topics, disclose automation where appropriate and provide a reliable human handoff
- ✓
Document why each part of customer questions, approved knowledge and conversation context is necessary before making it available to the tool.
- ✓
Keep the use within draft or analyse and run another check if the audience, tool or intended effect changes.
- ✓
Preserve who accepted an immediate customer-facing answer, when they did so and which rule version they applied.
Questions people ask
About this AI use
Is using AI to answer customers through an AI chatbot automatically allowed?
The task name cannot settle the answer. Apply the company’s published rules to customer questions, approved knowledge and conversation context, the exact account, an immediate customer-facing answer, its audience and the proposed review.
How specific should the workplace AI request be?
Describe an immediate customer-facing answer, identify customer questions, approved knowledge and conversation context, name the exact tool and account, explain who will receive or rely on the output, and state how customer support owner will review it.
Which evidence makes the answer reproducible?
Preserve who accepted an immediate customer-facing answer, when they did so and which rule version they applied. A classification and controlled reference may be enough when copying customer questions, approved knowledge and conversation context would create unnecessary risk.