Free two-week trial · about thirty minutes to set up
Stand up a full team in about half an hour, on your own hardware, and judge it in two weeks against one number: four hours a week back per person, and two hours is the floor. Your work never leaves for an AI lab, and the people you trust hold the authority over what it does.
No card, no call to book. Your hardware, your data, your people in charge. In limited release with a small number of companies.
The questions
None of these are unreasonable. They are the questions any competent executive asks about any significant investment. AI is the one place they usually go unanswered — and the rest of this page is how each one gets an answer.
If you can already answer all six, you do not need us. If you cannot answer three of them, that is the normal state of a company that adopted AI quickly — and it is fixable in a week. The free trial ends with all six answered about your company specifically: the closing review walks them one by one, from your own record.
The projects
This is not a tool people dip into when they remember. Each team defines the projects their AI works on — named, scoped, and owned the way any other piece of work in your company is — and every one of them reports its progress back.
Not preset use cases chosen by a vendor. The head of sales decides what their AI team pursues this quarter, the same way they decide what their people pursue.
What is underway, what finished, what is waiting on a person, and what stalled. The picture you would want on any project the company is running, for these ones too.
There is no category of AI activity that belongs to nobody and appears in no update. If it is happening, it is on a project, and the project has an owner.
The value
The honest measure of AI is not how busy it looked. It is whether the projects your teams chose actually moved, and whether the work that came out was good enough to use. That is what the update tells you.
What was picked up, what was finished, and who it helped. Written for the manager who owns the project to read, not for an engineer.
Your people review the output. Both outcomes are recorded — the quality signal is the most useful number on the page, and it is the one no activity dashboard has.
Adoption is always uneven. Seeing who is ahead lets you spread what they are doing rather than funding five pilots and hoping one lands.
The question every sponsor eventually gets asked is what the money bought. This is the answer, ready before anyone asks for it.
The spend
Cost is not the headline. It is what makes the headline believable — a return with no price against it is a claim, and a price with no return against it is the problem most companies have with AI today. You get both, together, so the comparison is possible at all.
Which team, which project, which piece of work. Not one line called "AI" that grew forty per cent and nobody can explain.
A limit you decide at the start rather than a number you discover at the end. Reaching it starts a conversation, not an overrun.
The tools your teams adopted on their own stop being invisible. Most companies find more than they expected, and finding it is the point.
Staying local
Every time someone pastes a contract, a customer list or a product plan into a public AI tool, a piece of your company goes somewhere you do not control and cannot get back. It is the most common way businesses lose intellectual property right now, and almost nobody has counted how often it happens to them.
Inside your own network, on a machine you own. Not our cloud, not a shared service, and not somewhere your data is a guest.
The work your teams do, the files they use and the customers they discuss remain your property, in your building, under your control.
We do not receive your work, your prompts or your customer names — not for improvement, not for support, not by default. If you want to send us something, you choose to.
Safety is the first objective here, not a feature added later. Everything else on this page is only worth having if this part is true.
Who holds the authority
The people you already trust with your customers and your numbers are the right people to hold authority over AI in their part of the business. They know what good work looks like there — which is exactly the judgement AI does not have and cannot be given.
The head of each function decides what AI does in that function: what it works on, what standard it is held to, and what it may do without being asked. It answers to them by name, not to a central policy nobody wrote.
Nothing goes out because it was produced quickly. Your experienced people review, set the bar, and send it back when it is not good enough — which is the job you hired them for.
Directing a team, delegating well and reviewing honestly are the skills you promote people for. They come out of this more valuable to you, not less.
What it cannot do
The nightmare is not that AI does the work badly. It is that it does something nobody asked for, to a customer or to your money, and you find out afterwards. That is the one thing that must not be left to good intentions.
Anything that leaves a mark waits for a person to decide. Your people loosen that as trust is earned — deliberately, at their pace, never automatically.
Certain things stay out of reach permanently, at any level of trust, for anyone — including for us. They are not settings someone can find and change.
The two places a mistake is expensive and public are the two places a person always decides. That is the promise, and it is deliberately narrow so it can be kept exactly.
Built around your business
You tell us your divisions, who leads each one, and the roles that matter most in your business. What arrives is shaped around that — the right roles, reporting to the right people, working on the things your company actually does.
A professional services firm and a manufacturer do not need the same team. What you receive reflects the divisions you named and the work they do.
Each part of the business gets AI answerable to the person who runs it — the same reporting line your people already have.
It fits around what your company already uses. Nothing is migrated, rebuilt, or replaced to make room for it.
For whoever runs it
Most chief executives will forward this page to someone before deciding. These are the four things that person asks, and the answers are the same ones we would give them on a call.
No migration, no rebuild, and no requirement to move anything you already run. It fits alongside what exists.
It does not create another place your information lives. There is no copy of your work somewhere else to be secured, audited, or eventually breached.
If a step fails during setup it undoes what it did and says how far it got. If you decide against it, taking it off leaves the machine as it was.
Agreements with AI providers stay in your own name. We do not become an intermediary in a relationship you already have.
The advantage
Most of your competitors are handling AI one of two ways. Some have locked it down until somebody feels certain — and are quietly conceding ground to their own market. Some are letting everyone improvise — and are one bad afternoon from the incident that sets them back a year. Being able to answer the six questions at the top of this page is what opens the third path: faster than the careful ones, without the exposure of the careless ones.
The reason most companies go slowly is not that AI fails — it is that nobody can say what happens when it does. Once cost, quality and authority have names on them, "go further" stops being a leap of faith and becomes a decision like any other. You expand on evidence while competitors are still arguing about policy.
Hours back per person, every week, is capacity your competitors have to hire for. A team that gets a day a week back does not just cost less — it answers customers sooner, ships more, and pulls ahead in ways a headcount line never shows.
A company pasting its plans into public tools is feeding the same tools its competitors use. Yours stay in the building. Over years, that is the quietest advantage on this page — and possibly the largest.
Your competitors will adopt AI either recklessly or slowly. This is how you decline both options.
The free trial
Pick one department, name an administrator and a few people to take part, and run one file. About thirty minutes from starting the questions to a full team ready to work — and then two weeks in which you find out whether it was worth it.
Name someone to hold the whole thing and a handful of people to take part. Small is deliberate: one team that gets real value beats five that half-adopt, and adding more later takes minutes.
Everything you are judging runs whole from day one. Two connections deliberately wait until after the fortnight — attaching AI tools your teams already run, and the Microsoft agent estate — because both ask for credentials on day one, and both would blur the number you are judging us on. We name them now so day fifteen holds no surprise.
No card, no automatic renewal, no call to book. If you decide against it, taking it off leaves the machine as it was.
Getting started
There is no call to book and no demonstration to sit through. You tell us about your company, we send back one file, and you run it.
Six questions. Which department to start with and who will own it, which AI accounts you already have, which of your systems the team should reach, who administers the trial and who takes part. That is what your installation gets built around.
We send back a single file built from your answers. It checks the machine before it changes anything and stops with plain sentences if something is not right; it sets up what is missing, installs, and starts. If any step fails it undoes what it did and tells you how far it got.
Then your administrator hands the people you named their invitations — the platform emails nobody — and every agent starts as a trainee — able to read, plan and propose, and unable to act until its owner decides otherwise. From there your team names a project, and at the end of each week you read one update: what moved, what was good enough, what was sent back, what it cost, and the hours it gave back.
There is nothing to download or run before you start: the install itself checks the machine in plain sentences before it changes anything, and stops if something is not right — so the first thing you run is the only thing you run.
Request access
Access is arranged personally while we work alongside our first customers. Tell us a little about your company and we will come back to you within two working days.
Nothing here is shared outside our team, and we will not add you to a mailing list.