AI Chatbots for Customer Support

About this session

Held live online on Wednesday, March 25, 2026 — a 90-minute build-along with 18 founders and support leads. We built a working support assistant live, wired to real knowledge, and showed where AI support genuinely helps versus where it still hurts.

What we covered

• Why most "AI support bots" fail — and the difference between a chat widget and an assistant that reads your actual documentation.
• Grounding the bot in your own content — giving a model your FAQs, help docs, and product pages so it answers in your voice, not from hallucinations.
• When to deflect and when to hand off — designing escalation so customers reach a human the moment they need one.
• Self-hosting the stack — running the model and knowledge base on your own infrastructure so support data stays private.
• Measuring what matters — resolution rate, deflection, and time-to-human, instead of vanity metrics.

What attendees walked away with

Each participant left with a working prototype assistant on their own FAQ, plus a handoff flow that routes hard questions to a real person.

Key takeaways

1. An AI support bot is only as good as the knowledge you feed it.
2. Grounded answers beat fluent guesses — cite your sources.
3. Escalation is a feature: the best bots know when to get out of the way.
4. Start with your top ten support questions, not an everything-bot.

Materials & recording

• Session recording — shared with everyone on the free list.
• Prompt & knowledge-base template — the grounding setup we used live.
• Escalation flow diagram — the handoff pattern from the clinic.

"We turned our FAQ into an assistant that handles the easy half of tickets overnight. The handoff to a human is seamless." — session attendee

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