How do you choose the best AI ticketing system?

Choose an AI ticketing system by testing it on your own tickets. Compare how accurately it classifies and routes requests, how many it can resolve end to end, which systems it connects to, how it enforces permissions, how it assists agents, how easily you can migrate, and whether pricing is per seat, per resolution or by usage.

Eight criteria

CriterionHow to test it
Triage accuracyRun 500 past tickets through it and check category, priority and team
AI resolutionMeasure how many tickets it fully resolves, not just answers
Data connectionsCan it read and act in your CRM, billing, product and identity tools?
PermissionsDoes AI respect each user’s access, including customers in shared channels?
Agent assistSummaries, drafted replies, similar-ticket search
Engineering linkCan support tickets connect to bugs and feature requests?
AnalyticsCan you ask questions in plain language and get trends?
PricingPer seat, per resolution or usage credits; model the cost at your volume

Questions to ask vendors

  • What resolution rate do customers like us see, and how is it measured?
  • What happens when the AI is not confident?
  • How long does migration take, and what history comes across?
  • Which actions can require human approval?

Common mistake

Buying a traditional help desk with an AI add-on bolted on. If the AI cannot reach account data or take actions, resolution rates usually plateau.

Frequently Asked Questions

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