06 / Case studies / SaaS / Software

An AI agent that answers from the docs, and escalates when it should not guess

SaaS / Software · Head of Support

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01 /

What we built

Problem

Support drowned in repeat questions already answered in the docs, while genuinely hard tickets waited behind them. Canned macros did not help because customers asked in their own words.

Build

A retrieval agent grounded in the product docs, changelog, and past resolved tickets. It answers in the help widget with citations, and hands off to a human the moment confidence drops or the question touches billing or account access. Every answer is logged with the sources it used.

Result

Documented questions get answered by the agent whenever they arrive, so the team spends its day on tickets that need a person. Escalations arrive with the conversation history already attached.

02 /

Outcome

Documented questions

Answered by agent

Answers

Cited to source

Uncertain answers

Escalated, not guessed

Stack

RAG pipelineFrontier LLMsVector searchHelpdesk API
03Track record
Years building automation
6+
Client reviews (4.9 avg)
500+
Projects delivered
650+

Outcomes describe the systems we built and how they changed the work, de-identified for privacy. Named references for your industry are available on request under a mutual NDA.

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