Start with routing consistency
Salesforce State of Service research makes the operational pressure clear: service teams need faster, more reliable responses. For operations leaders, customer ticket triage is a practical first AI workflow because the categories, routing rules, and quality outcomes can be inspected.
The workflow should classify tickets, request missing information, suggest the right owner, and flag escalation risk. It should not close tickets or promise a customer outcome without review.
Use the ticket triage first-use-case guide to define the starting point.
Design the escalation path
CISA AI Data Security Best Practices matters because ticket summaries often contain sensitive customer and system information. The workflow should preserve permissions, redact where needed, and avoid sending sensitive summaries to teams that cannot see the source record.
Operations should document the escalation path before rollout: which signals raise priority, which issues need specialist review, and which categories should remain manual.
A clear human-in-the-loop path makes automation more useful because exceptions are visible instead of hidden.
Measure quality, not only speed
RSM middle-market AI survey and NIST AI Risk Management Framework support a disciplined approach: link AI to one operating workflow, then govern and measure it. For ticket triage, track first-response time, reroute rate, missing-info rate, escalation accuracy, quality corrections, and customer-impact resolution.
If the workflow only makes the queue look organized while pushing rework downstream, it is not ready to scale.
Use AI ROI measurement without fake savings to keep the business case tied to real operating improvement.
