AI · Support Automation
FiveForty
Autonomous AI agents that resolve support tickets.
Role · Architect & Lead EngineerYear · 2026
Agentic
RAG-grounded resolutions, not hallucinations
01 — The problem
Support teams drown in repetitive tickets, and generic chatbots hallucinate — eroding the exact trust support is supposed to build.
02 — The decision
Ground every answer in retrieval, never the model's memory. A microservice mesh isolates the agent loop, RAG, and document storage so each can scale — and fail — independently.
03 — Architecture
- Microservice mesh: sync, ticketing, users, chat orchestration, RAG, and document storage
- RAG pipeline grounds every proposed resolution in the customer's own knowledge base
- Agent loop ingests tickets and proposes resolutions with humans kept in the loop
04 — Outcome
Tickets ingested, retrieved against, and resolved with cited, grounded answers — the anti-demo-ware AI platform.
Stack
NestJSRAGLLM AgentsMicroservice MeshVector DBNextJSAzureOpenAINXPulumi