Build a Custom Chatbot Trained on Your Business Knowledge
Deploy a chatbot that answers customer and team questions accurately using your own docs, FAQs, and SOPs, reducing support volume by up to 40%.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Gather and organize your source documents
Collect your FAQs, product docs, SOPs, and help center articles. Consolidate them into clearly named PDF or text files, the cleaner the source material, the better the chatbot answers.
Step 2
Build and train the chatbot
Upload your documents to Chatbase. Create a new chatbot, configure its name and personality, and train it on the uploaded files. Test it with 20 questions your customers actually ask.
Step 3
Refine responses and set guardrails
In Chatbase, review answers that missed the mark. Add custom Q&A pairs for high-priority questions and set a fallback message that routes users to a human when confidence is low.
Step 4
Embed on your site or connect to Slack
Copy the Chatbase embed snippet and drop it into your website. Alternatively, use Zapier to connect Chatbase to a Slack channel so your team can query the bot directly.
Step 5
Monitor and improve weekly
Review the Chatbase conversation logs weekly. Use unanswered or low-confidence queries as prompts for Claude to draft new FAQ entries, then re-upload to keep the bot current.
Time Required
2–3 hrs
Expected Result
A live chatbot embedded on your site or internal tool that answers questions from your uploaded knowledge base and hands off complex queries to a human.
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