AI & Automation

An AI chatbot that answers from your own documents

Policies, manuals, help articles and product specs become a chatbot that answers accurately, cites its sources and says “I don’t know” instead of guessing.

Help center botInternal knowledgePolicy Q&ASource citations

The short version

Why a generic chatbot isn’t enough

General AI models don’t know your prices, policies or procedures, and when they don’t know, they may guess. For customer support or internal questions, a confident wrong answer is worse than no answer.

RAG solves this by retrieving the relevant parts of your own content before answering. The chatbot answers only from those sources, shows where the answer came from, and hands off or says it doesn’t know when the documents don’t cover the question.

What's included

  • Content audit and document preparation
  • Ingestion from websites, PDFs, Google Drive, Notion or SharePoint
  • Retrieval tuning and answer formatting with citations
  • Access controls for internal or customer-specific content
  • Accuracy test set and ongoing evaluation
  • Automatic re-indexing when content changes
Get a fixed-price scope

Capabilities

Grounded answers you can trust

Accuracy is designed and measured, not assumed.

Any document source

Help centers, PDFs, policies, manuals, wikis and drives.

Source citations

Every answer links to the passages it came from.

Permission-aware

Users only get answers from documents they’re allowed to see.

Honest fallbacks

Says when it doesn’t know and offers a human hand-off.

Always current

Content is re-indexed automatically when documents change.

Gap reports

See which questions your documents don’t answer yet.

How it works

From first call to live in weeks

  1. 01

    Audit content

    We find the sources that matter and fix gaps and contradictions.

  2. 02

    Index and tune

    Documents are chunked, indexed and retrieval is tuned for your questions.

  3. 03

    Test accuracy

    A test set of real questions measures answer quality before launch.

  4. 04

    Deploy and improve

    Launch on your site, help desk or Slack, and fill gaps from real questions.

Best fit

Who this is built for

  • Support teams answering the same documented questions daily
  • Companies with large help centers, manuals or policy libraries
  • Teams wanting an internal assistant for procedures and knowledge
  • Regulated businesses that need answers tied to approved sources

Popular in

Works with your stack

No rip-and-replace. We integrate with what you already run.

Google DriveNotionSharePointConfluenceZendeskIntercomSlackMicrosoft TeamsPineconePostgreSQL pgvectorOpenAIAnthropic Claude

FAQ

Knowledge Base Chatbots FAQ

Straight answers to what buyers ask us most. Don't see yours? Ask on a free call.

Ask us directly

RAG stands for retrieval-augmented generation. The chatbot searches your documents for relevant passages and uses them to answer, which keeps answers accurate and lets it cite sources.

It greatly reduces it. Answers are grounded in retrieved passages, the bot is instructed to say when the documents don’t cover a question, and we measure accuracy with a test set.

Yes. Internal assistants in Slack, Teams or a web app can answer questions about procedures, policies and documentation, respecting each user’s access rights.

We set up automatic re-indexing so updated or new documents are reflected in answers, usually within minutes or hours.

Taking projects for next month

Let's start something new together

Book a free 30-minute strategy call. We'll map the agents, automations and integrations worth building first, and tell you honestly what isn't.

No obligation Fixed-scope proposal You own the code