Build model
Fixed scope
know everything
One Company Brain instead of 5+ scattered systems
We wire Google Drive, Slack, Notion, and email into one searchable knowledge system that answers plain-English questions in seconds — with the source cited. The average knowledge worker spends 1.8 hours a day hunting for information; a Company Brain gives that day back every week.
Timeline
2–8 weeks
Runtime
Monitored
Handover
Owned by your team
Delivery blueprint
Visual summary of what this build includes from quote to handover.
Scope
Written
Deliverables and acceptance checks are fixed before build.
Execution
Instrumented
Retries, logs, and alerts are configured for production.
Controls
Approved
High-risk actions are gated by named human approvers.
Transfer
Owned
Runbook and account ownership move to your team at launch.
The answer exists. Nobody can find it.
The average knowledge worker spends 1.8 hours a day searching for information — 19.8% of business time. For a 10-person team at $40/hr, that’s roughly 90 hours and $3,600 a week spent hunting, re-asking, and rebuilding documents that already exist.
The knowledge isn’t missing — it’s scattered. Half of employees say they can’t find the information they need to do their job, because it lives across 5+ systems: Drive folders, Slack threads, Notion pages, email chains, and the head of whoever set it up. Enterprise search finds the right result on the first try about 10% of the time; Google manages 95%.
What we build
Source connectors + sync pipeline
n8n pipelines that ingest Google Drive, Slack, Notion, Gmail, and SharePoint into one index — incremental sync, so a doc edited at 9:00 is answerable by 9:05.
n8n · Google Drive · Slack · Notion
Cited answer engine
Retrieval over a Postgres + pgvector store, with Claude writing answers constrained to what was retrieved — each one linking to the exact source paragraph. No source found means “I don’t know”, never a guess.
Claude · Postgres · pgvector
Ask where work happens
A Slack bot plus a browser app, so nobody has to adopt a new tool: type the question in the channel where it would have been asked anyway, get the answer with sources attached.
Slack · Next.js
ROI math
1.8 hrs/day × $40/hr × 250 workdays = $18,000/yr recovered per employee — typical build $6–20k.
The 1.8-hour figure is a published knowledge-work median, typical for this type of automation — the audit replaces it with your team’s real numbers.
How this ships
Week 1
Audit
Knowledge-source map: where answers live today, which sources matter most, and the 25 questions the Brain must answer on day 1
Week 2
Blueprint
Architecture diagram: connectors, index, permission model, and the pass/fail criteria you sign off before we build
Weeks 3-5
Build
Working Company Brain in Slack and the browser, answering the day-1 question set with citations
FAQ
What does a Company Brain cost?
Most builds land in the $6–20k multi-system band, depending on how many sources we connect and how complex the permissions are. You get a fixed written quote after a free audit — the price doesn’t move after we start.
How long until my team can ask it questions?
The audit takes a week, the blueprint another, and the first working version answers the day-1 question set inside 30 days. Full rollout with permissions and every source connected typically takes 5–6 weeks.
Which tools can it connect to?
Google Drive, Slack, Notion, Gmail, SharePoint, Confluence, and Dropbox are standard. Anything with an API or an export can be ingested — the audit lists your sources and flags the awkward ones (scanned PDFs, legacy wikis) before we quote.
Where does our data live, and does it train AI models?
Your documents stay in a Postgres + pgvector store on your own cloud account — we hand you the keys. Questions run through the Claude API under commercial terms, so your data isn’t used to train models. Access mirrors your existing permission groups.
Get a fixed quote for a Company Brain
Fill this quick form and we’ll send a fixed written quote for this exact build.