AI Chatbots & Customer Support Automation

We build customer support chatbots grounded in your actual help center, product docs, and policy content via RAG, rather than a generic scripted flow — deployed on your website, WhatsApp Business API, or embedded inside your existing helpdesk (Zendesk, Freshdesk, Intercom). For structured, high-volume intents, we combine this with traditional intent-classification (via Dialogflow or Rasa) so simple, repetitive queries are handled fast and cheaply, reserving the LLM layer for nuanced questions.

The design detail that matters most in practice is the handoff: confidence thresholds that route a query to a live agent with full conversation context when the bot isn't certain, rather than looping a frustrated customer through the same unhelpful answer. We also build in analytics on deflection rate and unanswered-query patterns, so the knowledge base can be improved based on what customers are actually asking.

• RAG-grounded chatbot responses from your real knowledge base and policies
• Deployment on web, WhatsApp Business API, or embedded in Zendesk/Freshdesk/Intercom
• Confidence-based handoff to a live agent with full conversation context
• Intent-classification layer (Dialogflow/Rasa) for high-volume structured queries
• Deflection-rate and unanswered-query analytics to improve the knowledge base over time