Customer support
How to choose an AI customer support chatbot
A practical guide to choosing an AI customer support chatbot that answers from your own knowledge base, works on web and WhatsApp, and hands off safely.
Updated 2026-07-03 · 6 min read

The best AI customer support chatbot is not the one with the longest prompt. It is the one your team can trust when customers ask real questions about orders, billing, refunds, setup, and policies.
For most teams, the buying question is simple: can the bot answer from our own sources, stay honest when it does not know, and move the conversation to a human without losing context?
Start with source-grounded answers
A support chatbot should read your help center, PDFs, product pages, FAQs, and internal notes before it answers. That keeps replies aligned with your actual policies instead of generic internet text.
Look for visible source awareness. If the answer comes from a return policy, product catalog, or onboarding guide, your team should be able to trace it back.
Check the channels customers already use
A website widget is usually the fastest first channel because it reaches visitors at the point of confusion. WhatsApp matters when your customers already use messaging for support, delivery questions, and follow-ups.
Using the same knowledge base across both channels keeps answers consistent. Your web chat and WhatsApp replies should not drift into two different support experiences.
Make handoff part of the product
Good automation does not hide the human team. It handles repeat questions and escalates the conversations that need judgment, refunds, account access, or empathy.
The handoff should include a short summary, customer intent, attempted answers, and the source documents used. That saves your team from rereading a long transcript.
Quick checklist
- Answers are grounded in your own knowledge base.
- The bot can say it does not know instead of guessing.
- Web and WhatsApp use the same approved content.
- Human handoff carries context, not just a transcript.
- Analytics show which questions need better documentation.
Try Quikori with your own support content
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