Support answers grounded in the docs - not tribal memory.

PrivateAuto's support team was answering tickets from a mix of help docs, internal wikis, Slack scrollback, and gut feel. We built a RAG knowledge base that ingests the entire documentation, vectorizes it, and feeds every support response with the right context from the right source.

100%

of answers grounded in real source documents

Every

ticket cites its source - answers are traceable, not vibes

Auto

index - re-vectorizes as the docs change

The problem

Every ticket started with "let me find that for you"

PrivateAuto has the level of policy detail you'd expect from a marketplace handling six-figure transactions: identity verification, financing, escrow-style payments, electronic bill of sale, dispute flows. Customers ask precise questions - and they want precise answers.

Their support team had the knowledge, but it lived in five different places. Every ticket started with a hunt. New agents took weeks to ramp; senior agents became bottlenecks for the tough ones.

What we did

Made the docs answer the question

Step 1

Ingested the entire knowledge base

Help docs, internal wikis, product specs - every source PrivateAuto's team relies on, pulled into one pipeline that re-indexes as the docs change.

Step 2

Vectorized for semantic search

Built a vector database that finds the right doc by meaning, not keywords. "What happens if a buyer backs out after a deposit?" lands on the right policy even if the doc never uses that phrase.

Step 3

Wired it into HelpScout

An AI agent retrieves relevant context per ticket and drafts a grounded response. Agents review, edit if needed, and ship - fast answers, every one traceable back to the source.

Before

Every answer started with searching

Help docs, wiki, Slack, memory. New hires stalled. Senior agents were the bottleneck for the hard tickets.

After

Every answer starts with the right doc surfaced

Open a ticket, the system shows you the source-of-truth paragraph and a drafted response. Senior agents stop being the bottleneck.

The result

Accurate answers, faster - and traceable

Customers get the right answer the first time. Every response is grounded in a real source, so the team can show their work. Time-to-resolution drops. Ramp time for new agents drops with it.

The knowledge base ages well - when docs change, the index updates. The system doesn't need maintenance; it inherits the team's existing source-of-truth.

Is your team Googling internal answers?

If the source-of-truth lives in five places, it lives nowhere. We'll make it answer the question.

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Based on the RAG knowledge base built and deployed for PrivateAuto's support team, 2025–2026. Time-to-response and volume figures pending pull from HelpScout before publish.