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Back to the business caseAutomated ticket resolution · Implementation
Separate policy evidence from permission to act
The assistant may handle the conversation, but the policy and action integration must establish what it may do. Uncertainty needs a supported handoff.
Follow the process- Business goal
- Extend scope (expense)
- Business metric
- Self-service rate
Assess, authorize, act, and confirm
Use an approved policy revision, reliable billing records, enforced tool permissions, and a staffed escalation route. Test without issuing transactions first.
The task in this example
We were charged a late fee on an invoice we paid on time. Can you refund it?
- Step 1
Recognize the request
Map the fee dispute to the late-payment policy.
TaxonomyMaintain customer language and policy identifiers together.
- Step 2
Read billing facts
Retrieve the invoice, payment date, and plan.
Product or customer dataBilling records determine whether the payment falls within the approved grace period.
- Step 3
Retrieve current policy
Select the policy for the account and effective period.
Content teamRetain scope and effective dates with eligibility rules and exception handling.
- Step 4
Check action limits
Evaluate whether this case may be refunded automatically.
Content teamState authority conditions explicitly.
SystemEnforce those limits in the action layer; the model’s confidence is not authorization.
- Step 5
Act or hand off
Issue the permitted refund or transfer the case.
SystemRecord the transaction result and prevent duplicate actions on retries.
- Step 6
Confirm and monitor
Explain the recorded result and observe reopens.
ModelDo not claim a completed refund before the billing tool confirms it.
PeopleSupport owners review exceptions and policy errors.
This framework provides a practical baseline shaped by experience. Every organization operates under distinct technical and operational realities that require tailored design and governance. While you can adapt these measures independently, we frequently partner with teams to customize governance, integrations, and rollout. Performance outcomes will naturally vary.
Why these content layers matter
Intelligent content
Maintain policy, effective date, eligibility conditions, explicit limits, and handoff instructions as one controlled unit.
Taxonomy
Map customer phrases such as “late fee” and “overdue charge” to the policy and classify its plan and region scope.
Verify the result and handle exceptions
Test an eligible fee, a payment outside the grace period, missing data, an action beyond authority, and a repeated request. Confirm the recorded outcome rather than relying on the final chat message.
Missing or conflicting evidence, exceeded authority, or a failed tool call requires a handoff. Preserve context and keep the case unresolved until the appropriate outcome is confirmed.
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Support for this implementation
Define which requests can be resolved automatically and when a person needs to take over.
Which routine cases have rules clear enough to automate?
Intuitive Stack can help structure policy evidence and action boundaries with your support and system owners, then define a controlled self-service pilot.