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Company OS for business

Company OS

Everyone is using AI in their own silo, so the quality of the work depends on who did it.

A Company OS gives every employee's AI the same foundation: what is true in your business, how your best people work, and what has worked before. The output is consistent from one person to the next, and it gets sharper with every call, ticket and document.

Your company's knowledge shouldn't live in one person's chat history.

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One way of working, from the day they start.

Every person's AI works from the same foundation: what is true in your business, how your best people work, and what has worked before.

How it fits together

Your tools in. One brain. Every AI out.

Your systems keep doing their jobs. Underneath, they sync into one company brain, and every AI your team uses reaches that brain through a single connection, with the permissions you set.

YOUR TOOLS CRM Website and CMS Ad accounts Email Docs and drive Calls and meetings Slack and Teams Company brain One source of truth Context, method and permissions One MCP connection Your team's AI Claude, ChatGPT, Gemini or Copilot Agents, in the tools people already use You, in one place WHAT CHANGES Your tools feed onesource of truth The brain adds context,method and permissions Every AI reaches itthrough one connection MCP connectionAPI sync, read only by defaultYou
MCP, the Model Context Protocol, is the open standard Anthropic published in 2024 for connecting AI tools to systems and data. Claude, ChatGPT and other assistants can use it.

01Question one

What is a Company OS?

One shared system underneath everyone's AI. It holds what is true about your business, how each job gets done here, and the work that runs on top, so every person and every agent starts from the same place.

Salesoutbound, live Marketingsix workflows, live
Operations
Finance
Company OSInsightsAI engineeringAgentsFoundations
Service
People
Product
Leadership
One shared system. Sales and marketing run on it today, and every other team plugs into the same source.
Foundations
Your company's source of truth. Every piece of institutional knowledge that matters sits here: what is true about the company and the product, which claims are approved, who buys, what they object to, and how you and your people sound. It keeps itself up to date from every call, ticket and email, and anything contradictory goes to a person to decide.How it learns
Agents
How your best people work, built in. Each one does a task the way your A-grade employees do it: how a keyword map gets built, how a cold email gets written and graded. Every employee, new or long-standing, can draw on them, and every agent reads the foundations before it starts.How the layers fit
AI engineering
The workflows your business runs. Workflows chain agents into the work that produces your outputs: marketing campaigns, sales proposals, implementation plans and more. Anyone can start one, on request or on a schedule. A person approves wherever you want one in the loop, and always before anything goes out under your name.Watch one run
Insights and reporting
Every workflow learns from its own results. Each one has a reporting layer that watches the work it produced. A new ad doing worse than the last one? It is flagged and rotated out once you approve, and the lesson goes back into the company brain, so the next ad starts from it. Reports arrive on a schedule as finished pages.See the reports
Connected stack
Wired into where the work already happens: your CRM, website, ad accounts, sending tools, docs and analytics. Read access by default, write access only where you have granted it.The marketing workflows

Three layers

Your source of truth first. Then your best people's skills. Then the work runs, and learns.

The foundations are the base. Agents sit on top of them, workflows chain the agents into work that runs on request or on a schedule, and reporting watches every result and feeds the lessons back down. Every layer reads the one below it, so a fact corrected once is corrected everywhere.

02Question two

Why do you need one?

Because today every person's AI works from a different version of your business, your team has quietly found its own AI because the company's isn't good enough, and when your best people leave, their skills leave with them.

The whole thing on one page

Same people. Same tools. The difference is what sits underneath them.

Today

Four people, four versions of the truth.

SALES MARKETING SUPPORT NEW HIRE AIAI AIAI pricingv3 pricingv7 positioning(2024) the publicweb NO SHARED SOURCE whatever they learn leaves when they do

Four private accounts, four private memories. Ask the same question twice and you get two answers, both plausible.

With a Company OS

The same four people. One source underneath them.

SALES MARKETING SUPPORT NEW HIRE AIAI AIAI READS · WRITES BACK COMPANY OS pricing · positioning · the ICP · voice · workflows transcripts · tickets · product data · what agents learn

The same question gets the same answer, whoever asks it. What anyone works out goes back in, so the next person starts from it.

Nothing about the day changes. Nobody learns a new tool, nobody moves off the AI they like. The only difference is that the thing they are asking now knows where it works.

Most teams use AI the way they used Google. Ask a question, copy the answer out. The tool changed, and the way it gets used did not.

No single source of truth

Four people ask about pricing and get four answers.

Each one is working from a different file, or from none. Nobody notices until a customer does, usually in writing.

People bring their own AI

Your team has quietly signed up for its own AI.

Mostly free accounts, because the company setup gives generic answers. Now customer conversations and pricing sit in personal accounts the business cannot see, and the answers still know nothing about you. When the company's AI knows the business better than any personal account can, there is no reason to go around it.

Skills leave with people

Your best rep resigns, and their close rate goes with them.

Today you hire those skills back from scratch and wait months for the new rep to work them out. In a Company OS, what made them the best is built into agents, so the next rep starts from it.

  • Their objection handling
  • Their sales cadence
  • How they run a meeting
  • How they tell the story of each feature

What changes

Day one

The next hire starts from your best person's way of working, not from scratch.

Every piece of work

Ten people produce one standard, because they are all reading the same source.

Every week

Knowledge accumulates instead of evaporating. It is the one asset in the business that compounds.

Working with us

Two ways in. Start with yourself, or start with the company.

Most owners arrive with one of two problems. They want their own AI to work properly before they ask anyone else to trust it, or they can see the team using AI ten different ways and want one system underneath. There is a way in for each, and the first leads into the second.

Start here

For the founder and leadership

Founder Program

Your own AI, running on what you know.

In a few weeks your AI works from your voice, your decisions and your best answers, not the internet's average. You also leave with a map of where the rest of the company's knowledge is trapped, and what to build first.

What's inside

Knowledge audit · Your voice file · Founder content and comms · The build roadmap

Fixed fee · founder-led, with Graham

For the whole company

Company OS

Your whole company, on one system it owns.

We build it inside your business: foundations from your calls, tickets and documents, agents from your best people, workflows for the work you run most, and reporting on all of it. You own the system. We run it with you until your team can run it themselves.

What's inside

Foundations build · Agents from your best people · Workflows with approvals · Reporting · Weekly upkeep

Whole company · scoped to you · you own it