AI Triage for IT Support: Fewer Tickets, Faster Resolutions
Apply AI to the IT service desk: auto-classification, knowledge-grounded suggested fixes, and smart escalation to cut resolution times.
- Connect your ticket sources first — email, Slack, forms — into one queue with AI auto-classification (intent, urgency, affected system) so nothing gets misrouted by a hurried subject line.
- Ground suggested fixes in your actual knowledge base and past resolved tickets: the AI should answer with your runbook steps and links, not generic advice that sends employees in circles.
- Automate the truly safe tier: password resets, access requests with standard approval, and known-issue broadcast replies. Keep a human in the loop for anything touching permissions or production data.
- Define escalation with context: when the AI can't resolve, it should open a ticket pre-filled with summary, attempted fixes, and device or account metadata — saving the back-and-forth that eats most resolution time.
- Audit monthly: sample AI-triage accuracy and suggested-fix acceptance, retrain routing rules on the misses, and publish deflection stats to the business — IT support ROI is earned in the data.