What we build.
We help people, and the organizations they run, build an intelligent system around what matters to them. The human side comes first, WILD Intelligence™, then the context the AI needs, then the decision about what the system may know and do, then the build on the best tools available, from a well-set-up personal AI to a private system of many agents. Every system is judged against five principles, personal, private, portable, persistent and principled, and because people and tools both change, we stay alongside rather than install and leave.
Every one of them begins with the Bearing.
What makes you unique, distilled.
WILD Intelligence
What makes you unique, distilled. The strategy, the leadership, the judgment and the record, in a form the AI can work from and the team can hold to.
An AI strategy written for your organization
a few pages you can hand to the teamMost AI strategies are the industry's strategy with your name on the cover. Yours starts from what you sell that nobody else does, where you are headed in three years, and what you will not automate, and it fits on a few pages you can hand to the team. The Terrain Map is where it gets written.
Leaders developed on real decisions
the ones they already faceThe next generation of leaders in an owner-led organization learns by deciding. We put AI in the room for the decisions they already face, with the owner's standards set beside it, so judgment grows on the work rather than in a classroom.
Who decides what
with AI in the roomWhich decisions the AI may make on its own, which it drafts for a person, which it never touches. Decided, by name, before anything is switched on.
Where it's going
your industry, your customers, your competitorsA short brief every week, written for your organization: the moves in your industry, the questions customers are beginning to ask before they can say them, the thing a competitor just shipped. Once a month, a reading of it with you, with a decision at the end.
New offers and services
designed and prototypedInnovation is design. When AI opens a service you could not afford to offer before, we design it with you and prototype it in days, so the decision is made on a working thing.
Who you serve
the customers you keep, and the ones you turn awayCaptured, the line between the client you take and the one you decline becomes something the AI can honor and the team can hold to. It is the most valuable sentence in most organizations and the one least often captured.
The record of the organization
what you decided, and what came of itThe decisions, the pricing calls, the no's and what followed each, kept in writing so the AI works from them and the next decision is better than the last.
Artificial Intelligence
The tools, set up right. Your data, your systems and the models, in accounts you own, in a shape anything you choose next can use.
Your data, in your control
in your own tenant, on your termsYour documents, your systems and the record of the organization stay in accounts you own. We work inside them. Nothing of yours is copied to ours.
Every AI already touching your data
found and accounted forSomeone on your team is pasting customer information into a chatbot this week. The first job is to find every AI already in the building, say what each one touches, and decide what to do about it, which is rarely to ban it.
Clean, structured data that scales
ready for whatever tools come nextWhat the organization knows, in a shape the tools can use: consistent, labeled, free of duplicates, in one place you control. Done once, it serves every tool you choose after.
Your systems talking to each other, and to AI
on one open standardThink of it as the plug: one shape, so any tool you choose next fits. The standard is called the Model Context Protocol, and it lets an AI reach your calendar, your records and your files on your terms, with what it may read and what it may change set by you. We build on it, and we have shipped our own.
Modernized where it has to be
left alone where it worksThe spreadsheet that works is not a problem. The system nobody can get data out of is. We change the second kind and leave the first alone.
Local, cloud or hybrid
decided for your caseMost owner-led organizations end up hybrid: the private context and the credentials kept close, the models rented. We decide it for your case, including when the answer is a small machine of your own.
Yours to leave with
files and allEverything we build sits in files and accounts you own. If we part, you keep the lot, and it works without us.
WILD×AI™
The two joined, and what that produces. Systems that work from who you are, and read the organization back to you so your judgment sharpens as they run.
A personal AI built around the owner
private, persistent, portableAn AI that knows your organization, your standards and your week, remembers what you decided, keeps what it learns where you can read it, and comes with you if you change tools.
Assistants for the team
on the tools you already pay forCopilot, Gemini, Claude or ChatGPT, whichever your licenses already cover, set up around the way your team actually works, with the organization's context loaded and the limits set.
Automations that act inside limits you set
how much, to whom, how oftenThe follow-up sent, the invoice drafted, the schedule updated, each inside a limit set in advance: how much it may spend, who it may write to, how often, and when a person has to look first.
Dashboards that replace the daily report
the numbers you actually watchOn one screen, with yesterday's figures underneath and the source a click away. The half day someone spends building the report every month goes back to the work.
Marketing with, and to, AI
when someone asks who to call, getting your name into the answerThe models are the new front door. We make sure ChatGPT, Gemini and Google describe the organization you actually run, and we show you the citations. And the writing, the campaigns and the follow-up are drafted with AI from what makes you unique, so they sound like you.
A team that comes with you
the habits and the practices, with the licensesLicenses are the easy half. The team needs a few habits that hold: what to hand the AI, what to check, what never to paste in. We build those with the people who do the work, and we measure them by use. Adoption is measured by use: it is done when the people who do the work use the thing on a Tuesday without being asked.
The AI reading the organization back to you
the numbers, the patterns, on a cadenceWhere the time goes, where the margin is, which customers stay, and what came of what you decided, read back to you weekly or quarterly. The system runs, and your judgment sharpens with it.
Six situations owners bring us.
Govern the AI already happeningA secure setup, a use policy people actually follow, the sensitive context kept in-house.
Capture what lives in one headFor a retirement, a succession or a sale. The know-how that sits with one long-tenured person becomes something the organization keeps.
One setup the team actually usesEnthusiasm, a pile of subscriptions, nobody using them. We connect the few that matter to how you already work.
An advisor on callA standing relationship, the way you keep an accountant or a lawyer. Someone to think with as the AI decisions arrive.
The marketing eating your timeSocial, content and follow-up handled with AI in a way that keeps your voice and returns the hours.
The value leaking out nowAfter-hours calls unanswered. Leads nobody followed up. Data you are sitting on. We find the leaks and close them.
Whatever we build is a Navigator: a system built around you, on the tools you already pay for, with specialist agents when the work needs many hands, private when it must be. The architecture can change. The standard does not: five questions we ask of every system before it is built, including the ones we build.
The best existing environment, set up deliberately: Claude, ChatGPT, Gemini or Copilot with your context, your files, memory and the recurring work wired in. Best when simplicity matters.
A persistent AI as the control plane, with specialist agents for research, building, browsing and automation, across more than one model. Where the work often lands once it is real.
Your context held where you say, credentials kept close, cloud models treated as replaceable, logs you can audit, local inference when it is warranted. An option, not a doctrine.
The standard, whichever depth:
Where does it send what it sees, and who governs that?
Is it built around you, or around the default?
Does it remember, and is it there when you are not?
Can you leave with it, files and all?
Is it built for your flourishing, or for their engagement?
The vendor's demo
Leads with the tool, because they sell the tool. The question that decides everything, what has to stay human, never comes up.
Letting the keen one on the team figure it out
Cheap, and often clever. It produces a pile of subscriptions, one enthusiast, and no policy.
The AI that is already in the building
Doing nothing is a decision too. Someone is pasting customer data into a chatbot this week, on an account the organization does not own.
An AI consultancy
Built for enterprises, priced for enterprises. Rarely interested in the fact that a company your size runs on judgment rather than process.
An agent install
A hardened box in two weeks. Nobody walks the operation first. Nobody decides what it may do on its own.
One firm, three headings. What makes you unique, the tools set up right, and the two joined: the part nobody who sells you the tools will build, and the reason it is one firm.
Start where you are.
The Bearing first. Then, if you want one, a conversation with the person who would do the work.