AI
AI Agents in Customer Support: Where They Help and Where They Hurt
5 May 2026 6 min read
Deployed carelessly, support AI increases churn. Deployed with clear boundaries, it removes the majority of repetitive load.
Key takeaways
- Automate the informational, escalate the emotional.
- Ground answers in your own documents, not general knowledge.
- Measure resolution and satisfaction together, never separately.
Draw the boundary first
Order status, opening hours, pricing tiers and policy questions are ideal. Refunds, complaints and anything involving money already lost should reach a person quickly, with full history attached.
Ground it in your content
An assistant answering from your actual policies, catalogue and past tickets is useful. One improvising from general training data will eventually invent a promise you must honour.
Instrument honestly
Track containment rate alongside satisfaction and repeat contact. A bot that 'resolves' ninety percent of chats while customers re-contact tomorrow is not saving anything.
Keep improving from transcripts
Every unresolved conversation is a content gap. Review weekly, patch the knowledge base, and containment rises without any model change.
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