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Systems / Company Brain
NEW ON THE PLATFORMtime · money · team · order
Company Brain
One structured brain for your whole company — answers with sources, improves with use.
- What it is
- The central nervous system of your company: structured knowledge that AI can reliably use.
- Typically gives back
- ~1 workday/week of searching, re-asking and re-explaining
- Replaces
- Notion graveyards, inbox archaeology and tribal knowledge.
What it costs you without this
Calm arithmetic, not fear. Methodology.
Every question becomes archaeology: three tools, two threads and one colleague who “just knows”.
Illustrative example
New hires take weeks to find what the company already knows — onboarding is oral tradition.
Illustrative example
Two documents disagree and nobody notices until a customer does.
Illustrative example
| Week | Month | At €40/h |
|---|---|---|
| 8 h | 32 h | €1,280/mo |
8 h/week of searching × €40/h × 4 weeks
Illustrative composite example — 8 h/week of information archaeology ≈ €1,280/month at €40/h. Market research puts company-brain builds at $5–25k (elevatedsignal.com, 2026); ours lands at €3.5–8k — agency discipline, solo price. Your scan gives the real numbers.
A firm like this
Bakker & Zonen
12-person family business, knowledge in heads, one shared drive and forty inboxes
Without the system
- Pricing rules live in a PDF from 2023 and in the owner’s head.
- Every new hire shadows for weeks before they can answer alone.
- “Where is the latest version?” is a daily question.
With the system
- One brain with sources: answers cite where they come from.
- Conflicts between documents are flagged, not hidden.
- Onboarding drops from weeks to days — the brain answers.
| Metric | Before | After |
|---|---|---|
| Time to an answer | Hours of searching | Seconds, with source |
| Onboarding | Weeks of shadowing | Days with the brain |
| €/month at €40/h | €1,280 | Scan gives your number |
Illustrative composite example — not a real client
What is in the system
Only what we can point to. Missing pieces stay off this page.
Knowledge graph (BKG)
Your facts as structured, linked knowledge — not another folder of PDFs.
You see: Answers that cite their source, every time.
Source-first answers
The brain answers from your documents and says “I don’t know” when it doesn’t.
You see: No invented confidence. Ever.
Conflict detection
When two sources disagree, the brain flags it instead of picking silently.
You see: A short list of decisions only you can make.
Human approval loop
Agents read and propose; people approve what becomes truth.
You see: You stay the editor-in-chief of your company’s knowledge.
Grows with use
Every correction feeds the loop — the brain is better next month.
You see: An asset that appreciates, not a wiki that rots.
Onboarding mode
New hires ask the brain before they interrupt you.
You see: Your weeks back; their ramp in days.
How it works
- 1. Map where your knowledge actually lives.
- 2. Structure it into a graph AI can use reliably.
- 3. Wire answers with sources and conflict flags.
- 4. Run the approval loop — you stay the gate.
In the build
- Knowledge graph built from your real sources
- Answers with citations — and an honest “I don’t know”
- Conflict detection between documents
- Onboarding path measured in days, not weeks
- Approval loop: agents propose, you decide
- Documentation, scans, handover
- Your repository from day one
Good to know
For companies whose knowledge is in processes, not just documents: 1–15 people who answer the same questions daily. If your truth changes hourly and lives in one head by choice, start with the scan — we may say “not yet”.
No. Answers carry their source, and when the brain doesn’t know, it says so. That is a feature, not a gap.
Search finds text; a brain holds structured knowledge with conflicts flagged and a human approval loop. The difference shows up when two documents disagree.
Works well with
Start with the scan
90 minutes. Written report is yours. Then a fixed price — or a clear no.