paraskapoor.com
Work

AI · Support Automation

FiveForty

Autonomous AI agents that resolve support tickets.

Role · Architect & Lead EngineerYear · 2026
Agentic

RAG-grounded resolutions, not hallucinations

01The problem

Support teams drown in repetitive tickets, and generic chatbots hallucinate — eroding the exact trust support is supposed to build.

02The 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
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