Documentation-trained AI with seamless human escalation
Users struggle with setup while support teams repeat themselves
Product documentation is vast — users can't find the specific answer they need
Tier 1 support agents spend most of their time on questions already answered in docs
Complex, account-specific issues need human expertise but there's no smooth transition from bot to agent
No visibility into what questions customers ask most or where documentation has gaps
AI assistant trained on your product docs with human handoff
An AI support agent that ingests your full documentation — API references, setup guides, changelogs — and handles routine questions. When a user needs account-specific help or hits a complex issue, the conversation seamlessly transfers to a human agent with full context preserved.
Step-by-step flow from initial contact to resolution
"How do I configure SSO with our identity provider?" — sent via embedded chat widget
RAG retrieves relevant sections from SSO setup guide and API docs
LLM produces a walkthrough with citations to specific doc pages
"I followed the steps but I'm getting a SAML assertion error with our Okta setup"
Intent classified as account-specific support — conversation routed to human agent
Support agent receives full conversation transcript, user context, and quality score
How data flows through the system for this use case
Embedded chat widget
Semantic search over product docs
Citation-backed responses
Intent-based escalation
Full context + transcript
Routine questions are handled end-to-end by the RAG pipeline. When intent classification detects a need for human expertise, the handoff engine transfers the conversation to the agent inbox with full context preserved.
Technologies powering this solution
Custom-built for your specific documents, workflows, and channels.