Customer Service
AI transforms customer service from reactive ticket handling into proactive, intelligent support. The biggest wins come from reducing time-to-resolution and helping agents focus on complex cases.
Quick wins
Things you can prototype in a single sprint.
Auto-categorize and route tickets
Use classification models to tag incoming tickets by topic, urgency, and product area, then route to the right team automatically.
Draft response suggestions
Generate first-draft responses from knowledge base content so agents edit and send rather than write from scratch.
Summarize long ticket threads
When a ticket has 20+ messages, give the next agent a 3-sentence summary instead of making them read the whole history.
Strategic opportunities
Investments that deliver transformative value.
Escalation prediction
Identify tickets likely to escalate before they do, based on sentiment patterns, response delays, and customer history.
Knowledge base automation
Turn resolved tickets into knowledge base articles automatically, keeping documentation current with real support patterns.
Real examples from my work
Related writing
Related use cases
Want to explore customer service AI for your organization?