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AI support copilot

A retrieval-grounded assistant embedded in a live SaaS product, cutting ticket volume 48% in nine weeks.

−48%
ticket volume
9 wks
to production
92%
answer accuracy
Client
Series A SaaS · remote
Scope
Build
Services
AI engineering, RAG pipeline, Evaluation, Product integration
Stack
Python, Next.js, pgvector, LLM APIs

The challenge.

Support was drowning, and an off-the-shelf bot had already failed — it hallucinated and frustrated the users it was meant to help.

What we built.

We built a retrieval-grounded copilot over their docs and tickets, with an evaluation harness, guardrails, and a confidence threshold that handed off to humans cleanly.

How we grew it.

We instrumented every answer, ran weekly evaluations, and tuned retrieval — so quality compounded instead of drifting after launch.

What made the difference.

Treating evaluation as core engineering, not a demo afterthought, is what made it production-ready.

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