Grow without adding headcount
Campaigns, content, proposals and reports that used to need another hire get done by the people you have, with agents doing the groundwork.
AI strategy and implementation
Your whole team, working like your best people.
Today the quality of the work depends on who did it. We build how your best people work into one company brain, so every person's AI works their way.
Works with the AI and the tools you already use
ClaudeChatGPTGeminiHubSpotSalesforceNotionSlackGmailDriveGoogle AdsWebflowLinkedIn
What changes
AI that pays for itself, across the whole team.
Not a tool for a few enthusiasts. One way of working that every person draws on, from the day they start.
AI operating from a single company source
Every answer and every piece of work starts from the same facts and the same methods, so quality stops depending on who did it.
Know-how that never leaves
What your best people know is written into the system. When someone leaves, their objection handling, their process and their judgement stay behind.
AI you can trust and control
Your people approve everything that goes out under your name, and everything the system knows stays in your business.
We run our own business on a Company OS. Every report, plan and piece of content we deliver goes through it.
Ten people. Ten versions of your business.
Everyone is using AI in their own silo, so the quality of the work depends on who did it.
The problem
AI is everywhere in your business. The results are not.
Your client data, pricing and plans are going into accounts you don't control.
78%of people using AI at work bring their own tools, rather than ones their employer gives them.
Microsoft and LinkedIn, 2024 Work Trend Index, 31,000 knowledge workersTools get bought, half set up and forgotten, and nobody can say what they return.
95%of organisations studied reported no measurable return from generative AI. The authors blamed brittle workflows and missing context, not the models.
MIT NANDA, The GenAI Divide: State of AI in Business 2025, a preliminary studyAI stays with the few who taught themselves, and the rest of the team never catches up.
36%of employees feel properly trained to use AI. People with five or more hours of training are far more likely to use it regularly.
BCG, AI at Work 2025, 10,600 workers in 11 countriesThe gap is rarely the model. Nobody owns it, and nobody gave the AI your business to work from.
Sources: Microsoft · report coverage, MIT NANDA · BCG
How we get you there
Plan it. Lead it. Teach it. Build it.
You can't build an AI-first company as a handful of people's side job. We act as your AI team, from strategy to engineering, department by department, until your own people can run it.
01 · Plan
AI strategy
Find where AI pays in your business first, and what to leave alone. A ranked plan your team can act on, not a slide deck.
Explore AI strategy 02 · LeadAI leadership
The decisions only leaders can make: where AI fits, what it may touch, who owns it, and how you take your people with you.
For leadership teams 03 · TeachAI facilitation
Hands-on sessions that take your teams from cautious to capable, working on their own tasks rather than a generic course.
For your teams 04 · BuildCompany OS
The system underneath your team's AI: a company brain, agents for the repeatable work, and workflows with approvals built in.
See the Company OSOutcomes
Every result measured, from the systems that produce it.
Reports arrive weekly and monthly as finished pages, pulled from your CRM, your website and your ad accounts. What the numbers teach goes straight back into the system.
PipelineBooked calls, demo requests and the deals they turn intoWeekly
Cost per leadSpend against the leads and meetings it actually buysWeekly
Time to first draftFrom a request to a finished piece, ready for sign-offPer workflow
AI visibilityHow often ChatGPT, Claude, Gemini and Perplexity recommend youMonthly
Search demand wonThe buyer searches you rank for, against the planMonthly
AdoptionWho uses the system, for what, and where it is stuckMonthly
Who it is for
Growing businesses where the work gets less efficient as you scale.
Typically 10 to 200 people, selling to other businesses, with a team already using AI on their own. Small enough that one system changes how everyone works, big enough that it pays back quickly.
B2B softwareProfessional servicesInsurance and financial servicesCompliance and reportingProperty and construction servicesVenture-backed companies
For venture investors
The thinking behind the work.
Read our insightsAI strategy
Every business can buy the same AI.
The model is the part you rent. What it knows about your business is the part you own, and the only part a competitor cannot buy.
6 min read
Company OS
What Is a Company OS? The Shared System Underneath Everyone's AI
A Company OS is the shared layer underneath your team's AI: what is true about the business, how each job is done, and the agents that run on it.
9 min read
Problems with AI
Why Do AI Projects Fail? What the Ones That Work Do Differently
Why AI projects fail: the root causes RAND, Gartner and MIT found, why generative AI fails differently, and what the projects that deliver have in common.
9 min read
The real risk is waiting.
The companies that win with AI are not the ones with the most tools. They are the ones with a plan.
Talk to usQuestions
Straight answers.
What is a Company OS?
One shared system underneath everyone's AI. It holds what is true about your business, how each job is done here, and the work that runs on top, so every person and every agent starts from the same place. See how it works.
Do we have to change the AI we use?
No. Your team keeps Claude, ChatGPT or whichever tool they prefer. The Company OS sits underneath, so the same knowledge and methods reach all of them. If people are using personal accounts with company data, we help you move them onto business plans first.
Who owns it?
You do. Your knowledge, your agents and your workflows live in files and accounts your business owns. If we part ways, the system stays with you and keeps working.
Is our data safe?
Every connection starts read only, and write access is granted one tool and one action at a time. Nothing is published, sent or spent without a named person approving it. Your data stays in your accounts.
How soon do we see results?
We start with the work that pays back fastest, usually one workflow your team runs every week, and you see it running before you commit to more. The rest is sequenced in the strategy.
Do you build everything?
No. If a tool you already pay for can do the job, we switch that on. We only build where nothing fits, and we say so when the answer is to wait.
Talk to us
Find out where AI pays in your business.
Thirty minutes, with the person who would do the work. You leave with the two or three places we would start, whether or not we work together.