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Company Brain

AI Knowledge Base for Your Company

A private AI built on your documents, procedures and customer history that answers questions about how your business works.

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What you get

  • Full Knowledge Ingestion

    Documents, SOPs, training materials, customer data, product catalogs, email templates, FAQ. Everything that defines how your business works.

  • Persistent Knowledge Graph

    Not just a document dump. It's a structured graph that connects concepts, tracks relationships, and builds understanding over time.

  • AI Connected to YOUR Data

    When AI answers a question, it pulls from your data, not from generic training data. Your pricing. Your policies. Your people.

  • Continuous Learning

    Every interaction improves the system. Corrections are captured. New knowledge is integrated. The brain gets sharper daily.

  • Multi-Channel Deployment

    Connect the brain to customer service, internal chat, phone systems, email. Anywhere AI needs to know about your business.

  • Accuracy Verification

    Built-in fact-checking against your knowledge graph. Answers about your pricing come from your actual price list, with the source attached so you can check them.

How it works

  1. Step 1
    Knowledge Audit

    We map every source of business knowledge: documents, databases, key employees, processes, customer interactions.

  2. Step 2
    Graph Construction

    All knowledge is ingested, structured, and connected into a persistent knowledge graph with relationships mapped.

  3. Step 3
    AI Integration

    AI models are connected to the graph: customer service, internal tools, phone systems, wherever you need intelligent answers.

  4. Step 4
    Continuous Refinement

    Every interaction improves accuracy. New knowledge is added. Corrections are captured. The brain compounds over time.

Scope, methods and delivery

The problem we address

AI tools sound impressive and still get your business wrong when they don't have your actual knowledge. A chatbot without your current pricing and policies answers customers wrong, and an assistant only knows the files and sources someone set up for it and kept current. The hard part is connecting AI to everything your business knows and keeping it current.

Our approach

We build a persistent knowledge graph, a structured brain: from every document, process, conversation, and data source in your business. Your pricing, your policies, your customer history, your product details, your tribal knowledge that exists only in employees' heads. Then we connect AI to this brain. The result: AI that actually knows your business, gives accurate answers, and gets smarter with every interaction.

Why a general AI assistant gets your business wrong

A general AI assistant works from its training and the web, plus whatever files and connected sources someone sets up for it. Out of the box it knows your industry in the abstract, the public version of your competitors, the consensus answer to common questions.

Unless someone feeds it and keeps it current, it doesn't know which contract terms you actually use, which customer accounts have which history, which internal processes have which exceptions, or what your founder told the team in last quarter's all-hands. That's the layer that matters operationally, and keeping it complete and current is the work Company Brain does.

What goes into your Company Brain

Setup ingests structured and unstructured sources:

  • Shared drives, documentation, SOPs, knowledge bases
  • Recorded meetings (transcribed and indexed)
  • Email archives (with appropriate access controls)
  • CRM and project-management tooling
  • Customer-support history
  • Any structured datastores you operate

The system organizes input into a hybrid retrieval layer — vector embeddings for semantic search, plus a knowledge graph linking entities (people, accounts, projects, products, decisions) so queries traverse relationships, not just match keywords.

Updates flow continuously: every email, meeting transcript, and document version becomes part of institutional memory automatically.

What you do with it

The interface looks like a chat surface, but the value is in what's behind it:

  • New-hire onboarding: new people ask questions and get sourced answers from your actual operations instead of guessing or waiting on a colleague.
  • Senior executives stop being the bottleneck for "what did we decide last year about X" — the brain answers with citations to the original meeting transcript or document.
  • Strategic decisions reference your specific history rather than generic advice.
  • AI agents you build for customer-facing tasks have access to your real context, not a public-internet approximation.

Every output is sourced with citations to the underlying document or message, so the user can verify before acting.

When this is worth the build

Company Brain fits:

  • Organizations with 25+ people where institutional knowledge has started living in specific senior employees' heads
  • Companies in industries where SOPs and contract structures matter (financial services, healthcare, regulated verticals)
  • Companies preparing for acquisition or exit, where the value of the business should not walk out the door with three founders

It doesn't fit early-stage companies under 10 people — the institutional memory there fits in a Notion workspace, and the build cost outweighs the benefit until the team is bigger.

Company Brain questions

What is enterprise knowledge management with AI?
Enterprise knowledge management with AI means building a persistent, structured knowledge base from your company's documents, processes, customer history, and institutional knowledge, then connecting it to AI that can answer questions, find connections, and surface insights your team would never find manually. The knowledge graph is maintained as your documents and processes change, so it stays current instead of depending on what someone last uploaded to a chat.
Why not just use an AI chat assistant with our documents?
Three reasons. First, we set up and maintain the ingestion of your email, documents and SOPs as they change, instead of leaving that setup and upkeep to your team. Second, the connections are built for you: a knowledge graph links your sales data, customer complaints and product roadmap, so a question about one pulls in the others without anyone attaching the right files first. Third, answers come back tied to the documents they came from, so your team can check them instead of trusting a fluent guess.
How much does a Company Brain cost?
Initial build starts at $5,000 for small companies (under 50 employees, limited documentation). Mid-market companies with extensive SOPs, customer data, and institutional knowledge run $10,000-$25,000. Monthly maintenance and expansion: $500-$2,000/month. Start with an AI readiness assessment to identify if Company Brain is right for you. The return comes from new hires finding answers without waiting on a colleague, fewer repeated mistakes and faster decisions; how much depends on your documentation and how widely it's used.
Is our data secure?
Your knowledge graph runs on dedicated infrastructure. We use enterprise-tier AI providers that explicitly don't train on customer data. No other company sees your knowledge. No model learns from your data. We sign NDAs and can implement additional security protocols for regulated industries. Your data stays yours.
How long does it take to build?
Initial knowledge graph: 2-4 weeks depending on volume. But it's useful from day one. We start with your highest-impact knowledge (SOPs, customer FAQs, product specs) and expand from there. It starts answering questions that used to require finding the one person who knows as soon as the first sources are loaded.
What types of documents can you ingest?
Everything: PDFs, Word docs, spreadsheets, emails, Slack threads, Confluence pages, Google Docs, CRM records, support tickets, recorded meetings (we transcribe them), SOPs, training materials, and even informal tribal knowledge captured through structured interviews. The more you feed it, the smarter it gets.

Related

Services

Guides

Public sources we use: Knowledge management (Wikipedia), MIT CSAIL, Knowledge graph (Wikipedia).

Build a knowledge base for your team

Tell us which documents and systems your team relies on. We'll scope a private knowledge base that answers questions with links to your sources.

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