AI Support & Ticket Resolution
Multi-channel RAG support agent with automated ticket triage & escalation
Deploy a private-knowledge-base-grounded AI support agent across WhatsApp, Intercom, and email that resolves routine queries instantly and hands off complex cases to a human with full conversation context.
- Problem: Routine support queries pile up outside business hours, and agents burn time re-answering the same questions instead of handling genuine edge cases.
- Solution: We deploy a RAG support agent grounded in your own documentation, live across your support channels, that resolves routine tickets instantly and escalates the rest with full context attached.
- Outcome: The majority of routine tickets resolve before a human ever sees them, and the ones that do reach your team arrive pre-triaged with context already attached.
- Instantaneous response times for tier-1 support queries across WhatsApp, Intercom, and email.
- Complete elimination of manual inbox sorting, tagging, and first-response drafting.
- Full context handoff to a human agent the moment a query exceeds the agent's confidence.
- Requires a structured, accurate internal knowledge base (docs, Notion, or PDFs) to ground the RAG agent.
- Needs explicit API access to your support channels (WhatsApp Business, Intercom, email inbox).
- Edge-case queries require a documented human-fallback routing protocol.
The problems you already know
Support queues pile up after hours
Every ticket that waits overnight is a customer forming an opinion about your responsiveness before anyone replies.
Reference Images
We build the RAG pipeline — knowledge base ingestion, retrieval, and multi-channel deployment across WhatsApp, Intercom, and email — plus the escalation logic that hands off to a human with context.
Most support volume is repetitive. Answering it instantly, at any hour, frees your team for the tickets that actually need a person, and customers get a response before they have finished forming a complaint.
Support teams fielding high volumes of repetitive tickets across chat, WhatsApp, or email who need faster first response without adding headcount.
We build the RAG pipeline — knowledge base ingestion, retrieval, and multi-channel deployment across WhatsApp, Intercom, and email — plus the escalation logic that hands off to a human with context.
Most support volume is repetitive. Answering it instantly, at any hour, frees your team for the tickets that actually need a person, and customers get a response before they have finished forming a complaint.
Support teams fielding high volumes of repetitive tickets across chat, WhatsApp, or email who need faster first response without adding headcount.
Featured Deployments
DEPLOYEDInteractive WhatsApp Support & Triage Workflow
Deterministic, menu-based WhatsApp automation that routes support, generates tickets, collects feedback, and books meetings — with no human agent.
Resolve Support Before It Escalates.
Every ticket sitting in queue is a customer re-evaluating you. Commission a system audit to scope your support agent.
[ COMMISSION SYSTEM AUDIT ]