When Sarah leaves, six months of training leaves with her.
Every customer she handled, every refund she approved, every escalation rule she remembered — it's gone. Her replacement asks the same 50 questions for three months.
The biggest blocker to AI automation isn't the models anymore — they got too good too fast. The real blocker is the knowledge inside your business. Company Brain reads your Slack, email, tickets, and handbooks — and turns them into rules every AI on your team follows. New messages land in seconds. Old knowledge cleans itself up. Every answer shows you where it came from. And when AI does something real (issues a refund, sends an email), your team signs off first.
$199/mo + $29 per seat · 200 credits free · cancel any time · your data stays yours
Every successful business has critical know-how scattered everywhere — in Slack threads, in old emails, in support tickets, in people's heads. It works because humans vaguely remember where it lives. AI agents can't operate like that. So they don't.
Every customer she handled, every refund she approved, every escalation rule she remembered — it's gone. Her replacement asks the same 50 questions for three months.
It knows the entire internet. Not your business. Ask ChatGPT what to do about a $4,000 refund and you'll get generic customer-service advice. Useless.
The escalation path is in a thread from 2024. The pricing exception lives in a manager's memory. Your handbook hasn't been updated since you hired.
Some staff use ChatGPT. Some don't. There's no record of what got shipped, what got asked, what got copy-pasted into customer-facing emails.
Slack, Gmail, Outlook, Teams, Zendesk, Notion — three clicks each. New messages land in your brain within seconds, no waiting for a scheduled import. Or paste your handbook / upload a PDF or Word doc up to 10 MB — we read the whole file in the time it takes you to grab coffee.
Pick the shape that fits. A plain rule ("refunds under $250 auto-approve, $250–$1k get manager sign-off") or a step-by-step playbook ("when X happens → Sarah does Y → if it's over $1k, escalate"). The brain drafts both from your actual data. You review and turn on with one click.
Pick any of 25+ AI employees. Every chat reaches into your brain, finds the rules and history that matter, and answers using YOUR playbook. Every fact the AI quotes is tappable — click to see the actual Slack thread, ticket, or handbook page that informed it. No black box.
Refund over $1,000? Lawsuit threat? Hiring decision? A second AI re-reads the response and flags what's missing. And when AI does something real for you (issues a refund, sends an email, adjusts pricing), an admin signs off first — never after the fact.
One subscription. Every component. Six chat-tool connectors + dual-mode rule induction (flat policy or step-by-step playbook) + auto-currency that keeps the brain fresh + click-through citations for full lineage + per-seat usage tracking + tailored AI per role with rule scoping + challenger on high-stakes turns + approval queue for autonomous AI + clones of your real teammates + knowledge graph + ask-the-brain + your own subdomain + public API + audit log + weekly digest.
Six apps connect with three clicks each: Slack, Gmail, Outlook, Microsoft Teams, Zendesk, Notion. Plus your handbook — paste it in or upload a PDF or Word doc up to 10 MB. New messages land in your brain within seconds, not 15 minutes. Re-uploading the same doc? We notice the parts we already know and skip the duplicates.
A plain rule when you want "what's our policy" (refunds, pricing, compliance). A step-by-step playbook when the work has an order (incident response, onboarding, escalation). Pick the shape that fits — the brain writes either one from your data.
Stale info ages out after 30 days unless we see it again. Every active rule gets re-checked once a week against your latest data. If your refund threshold changed and the rule didn't, it auto-pauses and the owner gets an email. Your brain self-corrects without you watching.
When the AI quotes a fact, the source is right there next to it — tap to see the actual Slack message, support ticket, or handbook paragraph it came from, with timestamp. No black box. If the answer's wrong, you can see why in two clicks.
One credit pool, every teammate spends from it. The owner dashboard shows jobs run, credits used, hours saved per person — plus their top AI employees and last activity. The "who's secretly using ChatGPT" question answers itself.
Each teammate has a title — Bookkeeper, Sales Rep, Founder. The same AI employee leans differently for each. And rules can target specific roles — the refund policy applies to your Sales Reps but not your Bookkeepers. One workspace, the right answer for each person.
When a chat mentions refunds, lawsuits, hires, contracts, or big dollar amounts, a second AI auto-reviews the answer and flags what's missing. You see both side by side. No one ships a one-sided AI take to a decision that matters. You set the keywords.
If you give an AI agent the keys to issue refunds, send emails, or change prices, an admin approves in a queue before the action fires. Each request is risk-scored and saved to the activity log. AI does the work; humans keep the authority.
Pick a teammate. The brain reads their messages, tickets, and decision patterns and builds an AI version that answers the way they would. When Sarah goes on leave (or leaves for good), the AI version stays.
A live, drillable map of every source, teammate, rule, and fact your brain knows — color-coded by topic. Plus a search box that takes plain English: "What do we know about refunds over $1k?" returns a cited answer pulled from across your team.
Your team signs in at acme.automatebusinessnow.com. One log-in carries across the main site and every subdomain — no second password to remember. We handle the certificates and DNS; you pick the name when you sign up.
Every admin action is logged for compliance and review. Developers can read your brain from your other tools through a simple API. And every Monday the owner gets an email: what got used, what got built, what got flagged, how much was spent.
Every other "AI over your data" tool is a snapshot. They read your stuff once and slowly go out of date. We built the opposite.
Anything we learned more than 30 days ago either gets re-confirmed or quietly removed. The AI never quotes a Slack thread from 18 months ago as if it happened yesterday.
Every active rule gets re-checked once a week against your latest data. If reality has moved (you changed your refund threshold and forgot to update the rule), it auto-pauses and the owner gets an email. Nothing goes silently out of date.
When you upload a new version of a doc, we recognize the parts that haven't really changed and just refresh those — no duplicates piling up. Six months in, your brain is the same size as month one. Just smarter.
The biggest blocker to AI automation of companies is no longer the models. They got so good so quickly. The real blocker now is the domain knowledge inside companies.
Every business has critical know-how scattered everywhere. Some of it lives in people's heads. Some of it's buried in old email threads, in Slack accounts, in support tickets, in databases. The company works because humans vaguely remember where that knowledge lives and how to apply it. But AI agents can't operate like that.
If every company in the world is going to run on AI automation, we need a new primitive — a company brain. A system that pulls knowledge out of those fragmented sources, structures it, keeps it current, and turns it into an executable skills file every AI on the team can read.
This isn't a company-wide search. It isn't a chatbot over your documents. It's a living map of how the company actually works — how refunds get handled, how pricing exceptions get decided, how engineers respond when something breaks. AI systems use that map to do the work safely and consistently.
The company brain is the missing layer between your raw data and AI automation that actually works. Until you have it, you're running on a smart-sounding stranger guessing at your business. You shouldn't be guessing. Neither should your AI.
One click in your dashboard. No phone call, no retention script. Top-up credits never expire — keep using them.
Skills, facts, audit log — all exportable. We never train models on your data. Standard zero-retention contracts with our model providers.
No card required to sign up. Connect a source, build a rule, run a chat — see the brain work before you commit a dollar.
5 minutes if you paste a handbook. 15 minutes if you connect Slack or Gmail. The brain ingests instantly when you paste; OAuth flows for chat tools take a couple minutes. Either way, you have your first AI rule running before your coffee gets cold.
Three lines of defense. First, every cited fact in chat is clickable — the user (or you on review) can verify the source in one tap. Second, the weekly drift check auto-pauses any active rule that no longer matches reality and emails the owner. Third, when AI agents take destructive actions, admins approve in the queue before the action fires — never after. The brain self-corrects without you watching.
Every chat turn surfaces which active rules and which facts informed the answer — visible inline, color-coded by source. Click any citation chip to see the original Slack message, ticket comment, or handbook paragraph with timestamp. If a rule applied, you'll see it. If no relevant rule existed, the AI says so rather than improvising.
No. We never train models on your data, and the AI providers we route through don't either — they keep nothing after the response is sent. Your rules, knowledge, and decisions stay private to your workspace.
Their AI version + every rule they helped build stays. If you cloned them as an AI version, that AI keeps answering in their voice using their decision patterns. The vision is: "oh the person with most context left two weeks ago" stops being a problem.
Yes. Skills + facts + the audit log are exportable. Your data is yours. Cancel any time and take it with you.
The $199 covers the brain itself — pulling from your apps, keeping it current, the weekly drift checks, the second-opinion AI, and a 30,000-credit pool the whole team draws from. The $29 per seat covers each teammate's own AI roster and the context tailored to their role. No surprise charges.
30,000 credits in your monthly pool. Top up any dollar amount when you need more — top-ups never expire. Cancel any time. No surprise charges. The brain you onboard today is the brain you have in six months.
200 credits free on signup · no card required · 5 minutes to your first AI rule