AI Chatbot Platform

The Challenge

Support volume was outpacing the team's ability to answer, and responses were inconsistent because reps were searching scattered docs and past tickets for every query.

The Approach

Built a RAG pipeline grounded in the client's own documentation and ticket history, ran retrieval-quality evals before launch, then shipped one shared conversation engine across the web widget, WhatsApp, and Slack with a human handoff path for low-confidence cases.

What Was Built

• RAG pipeline grounded in the client's docs and support tickets, with retrieval-quality evals before launch
• Unified conversation engine shared across web widget, WhatsApp, and Slack integrations
• Human handoff flow for anything outside the bot's confidence threshold
• Usage and deflection-rate dashboard so the support team can see what the bot is actually doing