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Axioprax Lab

Lab build, fictional business, synthetic data

AI Support Chatbot

A chatbot trained on product documentation. It answers FAQs, hands complex questions to a person and logs every conversation to the CRM with a topic tag.

Problem (test scenario)

The same product questions hit support every day. Complex ones needed a human, but FAQs did not.

What we built

A RAG chatbot trained on docs, with human handoff and topic-tagged conversation logs.

How it works

  1. 01Customer message received
  2. 02Intent classified
  3. 03Knowledge base retrieval
  4. 04AI reply generated
  5. 05Reply sent or agent alerted

Tech

Claude APIRAGIntercomNode.js

Result

Pattern for scoping chatbot builds. Labelled as Lab, not a client case study.