We map your actual work — the tools, the gaps, the shape your role needs.
04 · Company Install
A brain for every employee. One that ties them together.
Custom scope · 2–6 month engagement. Minimum 3 Personal Brains required.
SMBs, departments inside larger orgs, mid-market companies installing AI org-wide. Leaders who care about the line between individual contribution and institutional memory.
Each person gets a brain that’s theirs to keep. The company gets a shared brain holding institutional knowledge. The two work together across a line that stays honest about what’s personal and what’s shared.
How it works
Diagnose. Build. Hand you the keys.
One method, three moves: we map your actual work, build your private brain from it, and hand you the keys — owned, portable, queryable from anywhere.
We build your private brain from it — your corpus, indexed and queryable.
It's yours. Reach it from any LLM, at your own subdomain. You own it.
A brain per person. One that ties them together.
Every employee gets a portable brain — and a shared Company Brain holds what the org knows.
Each person gets their own private, searchable brain built from their real work — theirs to keep, portable when they move on.
Institutional knowledge — process, decisions, history — in one brain every tool can query, always current, nobody maintaining it.
READ, WRITE, ACT gates and access rules on who can query what. You own the deployment — it doesn’t walk out the door with anyone.
The structural problem with company-wide AI.
Most companies installing AI make the same architectural mistake. They either centralize everything — one shared workspace, all knowledge funneled into the corporate vault — or decentralize everything: everyone gets their own ChatGPT subscription and figures it out. Both break within twelve months.
- Centralize-everything fails the employees.The knowledge people build over years lives in their heads, their email, their habits — and most of it can’t move into a corporate AI without losing the context that made it useful. People resist contributing because what they upload becomes the company’s property the moment they upload it, and they intuit that this costs them leverage. The shared brain ends up half-empty.
- Decentralize-everything fails the company.Each person builds their own ecosystem of prompts and projects. Institutional knowledge that should compound across the team doesn’t — there’s no shared layer. Two people on the same problem work with a different AI and a different mental model. The aggregate effort is wasted.
The Company Install resolves this by being explicitly two-tier. Every employee gets their own Personal Brain — owned by them, portable when they leave, fed by their own work. The company gets a shared Company Brain — owned by the company, fed by what it has decided is institutional knowledge. The two query each other through a governance layer that respects the line.
“The company keeps the work product — the workflows and skills people build and contribute. Each person keeps the learning they bring to it: their books, their notes, their judgment. The architecture draws that line clearly, and both sides come out ahead.”
What the architecture actually looks like.
Two parallel brains, joined by a governance layer.
- Each Personal Brain holds the human’s own context. Same architecture as the solo Install— a private, gated brain queryable from any AI tool — but what’s inside it is the person’s: the books and notes they collect, their takeaways, the judgment and skills they’re building. That human layer is what makes an AI’s output land right, and what develops the person. It’s theirs, and it makes their work better.
- The Company Brain holds the work product — and all the knowledge around it.Institutional knowledge (policies, playbooks, frameworks, case studies) and the workflows and skills people build and contribute — but also any database, tool, or system you give us access to. Anything with an API, we wrap into an MCP server the brain can query (often a CLI, MCP, or API already exists), so we can actually pull your data in. Done right we ingest it in bulk up front rather than a slow trickle, and chunk it into the brains it belongs to. It’s owned by the company, on company SSO (M365, Google Workspace, or Okta). It stays when people come and go.
- A “Company Brain” is usually a cluster, not one brain. What shape it takes depends on the data patterns the Working Intelligence Audit surfaces — and we wire it accordingly during the install:
- By department, or sub-department — an HR brain might split into a talent-strategy brain under the direct HR lead, where the work is genuinely distinct.
- By data shape — a marketing brain might be a cluster: one for media, one for text and prose, one for the rest, because each is queryable best in a different shape.
- Or a single brain — learning & development, say, where one is enough.
- The governance layer is the connective tissue. Most installs use a three-tier model:
- Personal → Personal — off by default; cross-brain rights only open when both employees opt in.
- Personal → Company — on by default, scoped by permissions.
- Company → Personal — off entirely; the company never automatically reaches into individual brains.
- The endgame is orchestration.Once the company’s knowledge actually lives in the brain — not just documents, but the data, the tools, the systems — it stops being a place you look things up and starts running the work: an orchestrator coordinating agents, workflows, and routines at a granular level. That’s roadmap, not week one. You start from a strong foundation to get there quickly, and for real.
How ownership actually splits
Absorbed institutional knowledge: the workflows, skills, and playbooks people build and contribute. Clustered by department, wired into one brain.
- Sales
- Ops
- Support
- Finance
- Product
Each person’s own collected context — books and notes, takeaways, the judgment and skills they’re building. The human layer that makes the output land right.
- Books & notes
- Takeaways
- Skills you’re building
- Your judgment
Every skill installed comes with a correctness contract — how the agent proves it got the right answer, what it’s allowed to claim, and how you reverse a bad call.
The architecture is the half that matters
Scope it on a call before you scope it on a contract.
Diagnostic Call (30 min, free) maps your team to the right tier and outlines the governance contract. No commitment.
Four tiers, sized by team + data scope
Pick the tier that matches today.
Small · 1–15
$15K + $1.5K/mo. Company Brain + 3 role-skill types + governance + cross-brain rights. First organized AI footprint.
Mid · 15–50
$25–45K + $2.5–3.5K/mo. Adds multi-department governance, onboarding curriculum, audit logs, M365/Google/Slack.
Large · 50–250
$50–100K + $5–7.5K/mo. Multi-tenant platform, cross-department rights, structured 6-month rollout program.
Enterprise · 250+
Custom. Full institutional embed. 12+ month engagement. AI rollout integrated with operating-model change.
What you walk away with
In the bundle.
Two-tier brain system
Personal Brains for enrolled employees (owned by them). Company Brain holding institutional knowledge (owned by the company).
Governance contract
Written, agreed-upon, technically enforced. Who can query what, who keeps what when they leave. Half the value of the install.
Role-tuned skill library
Shared skills installed across brains, tuned to the function. Sales teams get sales-shaped, engineering gets engineering-shaped. Compounds across the team.
Stack integration
M365, Google Workspace, Slack — your daily tools query and feed the brains. Mid tier and above.
60-day support
Structured stabilization window after launch. Most installs hit an unforeseen edge case in week 3–4; this catches them.
Docs employees read
Not vendor-speak. Written in the same voice as the rest of the site — diagnosis, not promise. Explains what each piece does, why it\'s there, how to use it.
Why "minimum 3 Personal Brains" is the rule.
You can’t have a Company Brain without people who’ll actually use it through their own.
- Shared-brain-only installs become write-only archives.Deploy just the shared brain and employees keep using their personal ChatGPT and Claude, because that’s where their workflow already is. The investment gets shelved within a year.
- The fix is to deploy from the user out.Each employee’s Personal Brain gives them an immediate reason to engage. The Company Brain then earns its keep because they’re already querying through tools that reach it. The shared brain compounds because the personal brains pull from it constantly.
- Three is the floor— below that, the cross-brain governance design isn’t worth the complexity. At three, the shared layer starts paying for itself. At ten, it’s indispensable.
Who this is for
Named by role.
- The founder of an SMBYou've got 10–40 employees. You want AI rolled out properly the first time. You don't want to learn the hard way which pieces of architecture matter.
- The COO or Chief of StaffYou own operational rollouts. The board is asking about AI strategy. You need a real plan, not a vendor list.
- The department head inside a larger orgYou can run a real install at the department level while corporate IT is still picking a vendor. The architecture is portable to whatever the company eventually settles on.
- The Head of People / HR leaderYou care about the employee-ownership side. The portable Personal Brain story is what makes AI rollout an upgrade for employees, not a surveillance threat.
What’s included
In the price.
- Discovery + scoping → architecture design → per-employee Personal Brain installs + Company Brain build
- Personal Brains owned by each employee (portable when they leave the company)
- Company Brain owned by the company (stays through employee turnover)
- Role-tuned skill library for the function the team performs
- Governance overlay — who can query what, cross-brain rights, audit trail
- SSO integration via M365, Google Workspace, or Okta (mid tier and above)
- Optional: training sessions, M365 / Google / Slack deeper integration
- 60-day post-launch support window
- Written governance contract employees can actually read
- Minimum 3 Personal Brains required (Company Brain alone is not a valid configuration)
The ladder
One method, three depths.
Learn it in the Lab, run it with us, or have it installed. Same method — sized to whoever will own it.
Learn it
For the self-driven individual.
- The Lab — take the courses, build it yourself.
- The same method we install, taught step by step.
- Start free with Course 01, no card.
Run it with us
For the operator who wants a guide.
- We run the audit live, on your real operation.
- Pay-per-call advisory, then an ongoing retainer.
- You watch the method work before you commit.
Have it installed
For one role up to the whole company.
- We build and hand over your private brain.
- Personal Brain → Plus → Company, up to enterprise.
- Owned by you, portable the day you leave.
You own it
Reach it from any LLM.
The brain is a tool, not a walled garden. Any model can query it over MCP — so when you change jobs, change tools, or the next model launches, it comes with you.
- mcp connect your-name.br8n.io
- handshake ok · brain mounted as a tool
- tools: search_corpus · cite · draft_in_voice
- how did we price the last engagement, and why?
- Flat install fee plus a fixed monthly — held at the number you named. No contingent savings-share: you priced on the value installed, not a cut of the result.
- cited · calls/last-call.md · pricing/notes.md
Common questions
Asked, answered.
What happens when an employee leaves?
They keep their Personal Brain. They walk out with the corpus, the schema, and the deployment — same as if they bought the install themselves. The Company Brain stays with the company. The governance layer revokes their access to it the moment their employment ends.
This is the design, not an accident. Portability is what makes employees willing to invest their judgment into their Personal Brain. The institutional separation keeps the company’s knowledge intact through turnover. Both honor the line.
Doesn’t this create a security risk — employees walking out with company data?
No, because the Personal Brain’s corpus is built from the employee’s own work, with their consent — not from automatic ingestion of company files. The Company Brain holds what the company has explicitly decided is institutional. Employees can’t download the Company Brain into their Personal Brain — the governance layer prevents that. What an employee can take is what they’ve personally produced, which they could already take anyway (in their head, in their drafts, in their personal files). The Install just makes it structured and portable.
How do you handle regulated industries?
The architecture supports HIPAA, SOC 2, and similar frameworks — it’s built on Cloudflare’s enterprise infrastructure with explicit access gating. For regulated installs, we add a compliance scoping phase during discovery — usually a 1–2 week extension — where we map your requirements and design the audit trail accordingly. For installs that touch PHI or PII at scale, we may bring in a compliance specialist to review the architecture before deployment. Flag your industry during the Diagnostic Call.
Can you integrate with M365 / Google Workspace / Slack?
Yes, at the Mid tier and above ($25K+ engagements). The integration covers SSO (employees use their existing company login), document ingestion (files in shared Drives feed the Company Brain), and conversational surface (query the brain inside Slack or Teams). Small tier installs can add integration as a follow-on engagement once the architecture is in place.
What if my company already bought Microsoft Copilot or Google Gemini Enterprise?
The Company Install layers on top of whatever AI tools you’ve already deployed. The Personal and Company Brains expose MCP endpoints — both Copilot (via custom plugins) and Gemini (via extensions) can query them. The Install doesn’t replace your vendor tools; it gives them better context. The value lands once the brains are wired in: the bare Copilot answer is generic; the Copilot answer that’s read your company’s playbooks is specific.
How much custom development is involved?
The infrastructure is productized — Workers, D1, Vectorize, Workers AI, Cloudflare Access — built off a shared template configured per install. The custom work is in (a) the corpus extraction for each Personal Brain, (b) the architecture design that matches your data scope and governance needs, and (c) the role-tuned skills for the function. We aren’t writing a platform from scratch for each company; we’re configuring one that already exists against the realities of your team.
What's the timeline?
Small tier: 2 months from kickoff to launch. Mid tier: 3–4 months. Large tier: 4–6 months. Enterprise: 6–12+ months depending on scope. The variance is mostly in the discovery and architecture phases — the actual brain installs run roughly 4–6 weeks each, but they can be parallelized once the architecture is set.
What about ongoing costs?
The monthly retainer covers ongoing care: corpus updates, governance changes as the company evolves, new skill installs, break/fix. The infrastructure pass-through cost (Cloudflare + Twilio + LLM tokens, if applicable) typically runs $50–$500/month depending on team size and usage. The math is dominated by the value of time saved — for a team of 20, a brain that saves each employee 30 minutes a day pays for the entire engagement within a quarter at any reasonable hourly cost.
This engagement runs through the Lab.
Onboarding is a course you keep. Worksheets land where we read them before every call. When we’re done you hold the workbook, the certificate, and the method — not a slide deck about it.
See the Lab →Start with the Diagnostic Call.
The Company Install starts with a 30-minute Diagnostic Call. Free. We figure out which tier matches your team, where the governance line should sit, and whether the install is the right move now or whether something smaller — an Audit, a Workflow Sprint — is the better first step.













