What we build for you

You probably do not have an artificial intelligence problem.

You have a legibility problem.

Your teams know an enormous amount. Your tools hold years of data. Your processes work, most of the time. And yet nobody in your company can open one screen and see, in a single view, where the time goes, where the money goes, and what could be done differently.

That is why most artificial intelligence projects fail. Not because the technology does not work. Because it gets installed on an organization nobody ever made legible.

We start from the opposite end.

We do not sell licenses.

We do not sell one more tool to add to the fifteen your teams already do not use.

We do not sell an impressive demo that stops working the day real data lands in it.

We do not sell an engagement that leaves you dependent on us.

And we do not sell artificial intelligence. No chief executive wakes up in the morning thinking they are short of agents. They think their sales people spend too much time preparing meetings, that support costs too much, that reporting takes three days, or that their teams are hunting for information instead of producing.

Those are the problems we take on.

A system you own.

Built on your data, connected to your tools, deployed on your own accesses, with your code in your hands.

• ·Not an account on our side.
• ·Not a black box.
• ·Not a subscription that dies the day you stop paying.

The day our collaboration ends, the system keeps running and your teams know how to evolve it. That is the standard we accept being judged on.

Before we build anything, we set out to understand.

• ·Your business model.
• ·Your products and your customers.
• ·Your teams and what their days really look like.
• ·Your processes, including the ones nobody ever wrote down.
• ·Your data, and where it lies dormant.
• ·Your software, including the tools nobody opens any more.
• ·Your knowledge, and which heads it lives in.
• ·Your constraints, your costs, your risks.

We interview your people, function by function. Not a questionnaire sent by email. Real interviews, with the people who do the work.

What we hand back is not a report nobody will open twice. It is a living view of your own company.

We translate that understanding into a maturity score out of 100.

Your company is not simply good or bad at artificial intelligence. We assess twelve dimensions separately.

• ·Strategy.
• ·Leadership.
• ·Data.
• ·Knowledge.
• ·Processes.
• ·Technology.
• ·Automation.
• ·Agentic Readiness.
• ·Governance.
• ·Human skills.
• ·Adoption.
• ·Measurement.

One company can have excellent developers and internal knowledge that is completely fragmented. Another can hold enormous amounts of data and no strategy at all. A third can have bought fifteen tools nobody uses.

The score tells you which one you are, and exactly which dimension has to be acted on first.

Then we compare two realities: where you stand today, and where you could stand.

For every function that matters.

• ·Sales.
• ·Marketing.
• ·Operations.
• ·Finance.
• ·Product.
• ·Engineering.
• ·Customer service.
• ·Human resources.
• ·Legal.
• ·Executive leadership.

The space between the two is your set of opportunities. Each one is scored on its impact, its effort, its cost, its time to value, its dependencies and its risk level.

We are not looking for the most impressive one. We are looking for the one that will prove fastest that the transformation really does create value.

We also build the risk map. Before, not after.

• ·Which data is used, and where does it go?
• ·Which vendor becomes a dependency?
• ·What happens when the model gets it wrong?
• ·Which decision must have a human sign-off?
• ·What happens if the agent fails, and is there a trace of what it did?
• ·What access does it hold, and who granted it?
• ·What does the vendor contract say about intellectual property, confidentiality, compliance?

A professional system is not a system that works on demo day. It is a system that keeps working when something goes wrong.

Only from there do we build a real roadmap.

The first thirty days go to quick wins. The next sixty go to the structural building blocks. At ninety days, the systems start connecting to each other. At twelve months, your organisation no longer works the same way.

Every initiative carries an objective, an owner, a cost, an expected impact, indicators, its dependencies, an architecture, a risk level, a deadline.

And above all a precise definition of what this means: this project succeeded.

A roadmap that never moves is a dead document within six weeks.

Ours runs in a loop, and that is the heart of the method.

• ·We build.
• ·We ship to production.
• ·We measure against your real numbers.
• ·We hold the result up against what was planned.
• ·We reorder the rest of the backlog based on what we just learned.

Each turn makes the next one sharper, because it rests on real data instead of assumptions. An initiative that does not deliver what it promised is stopped, not defended.

Every month, you see what shipped, what it produced, and what moves to the front of the queue.

Your company knows an enormous amount, and that knowledge is scattered.

• ·In Google Drive and in Notion.
• ·In Slack and in email.
• ·In the CRM and in the contracts.
• ·In meeting notes.
• ·In the heads of your people.
• ·In documents nobody has opened for three years.

We build the Company Brain: one shared context layer for the whole organisation.

The goal is not to dump your documents into a vector database and hope it works. You need to know which knowledge exists, who can reach it, how it gets updated, which source is authoritative, and how permissions are handled.

That foundation is what makes everything else possible. Without it, your agents are guessing.

Take one of your salespeople.

Before an important meeting, he spends thirty minutes researching the company, checking LinkedIn, rereading past exchanges, going through the CRM and preparing his questions.

A system pulls all of that together and hands him his briefing.

But we do not stop there. After the meeting, another system analyses the transcript, extracts the decisions, identifies the objections, updates the CRM, creates the actions, drafts the follow-up and enriches the customer knowledge.

That is no longer an agent. That is a complete workflow, end to end.

The same logic applies to support, operations, finance, recruiting, marketing, research, reporting and steering.

This is where the difference is decided between a prototype and a system your company can actually rely on.

A model never exists on its own. Around it there is an environment, and that environment is what we build.

• ·Instructions and context.
• ·A memory.
• ·Tools and Skills.
• ·Rules and permissions.
• ·Evaluations and quality gates.
• ·Logs and observability.
• ·Error recovery mechanisms.
• ·Human validation checkpoints on what matters.

The model can be excellent: if its environment is badly designed, its behavior will stay fragile. That is exactly why so many impressive pilots never make it to production.

We build the harness first. It is less spectacular. It is what holds.

For complex missions, a single agent is not enough.

We organize several specialized intelligences, the way you would organize a team.

• ·One layer understands the human intent.
• ·Another breaks the mission down.
• ·One agent researches, another designs the architecture.
• ·Another builds, another tests.
• ·Another challenges security, another documents.

Each one has its role, its scope, its tools, its rules, its permissions and its success criteria. And some outputs must pass through human validation before anything moves forward.

You do not get an assistant. You get an organization that works while yours sleeps.

Sometimes the right answer is not an agent. It is software.

An internal tool that does not exist on the market. A dashboard your executives open every morning. A client portal. A business application that replaces three spreadsheets and two meetings.

We know how to build it, end to end.

• ·Understand the problem and talk to the people who live with it.
• ·Define the real workflow, not the one in the manual.
• ·Design the experience.
• ·Choose the architecture, build the database, the authentication, the APIs.
• ·Plug in the models, the agents, the payments.
• ·Deploy, measure, iterate.

And if that software has value beyond your walls, it can become a product you sell. Some of our clients discover their next revenue line inside a tool they had built for themselves.

This is the part most vendors avoid, because it cuts into their own revenue.

We train your teams to work with these systems, and to build them.

• ·Your developers learn supervised co-development, with guardrails, so they can ship their own features without breaking the system.
• ·Your business teams learn to describe a problem in a usable way, to read what an agent produces, and to know when not to trust it.
• ·Your executives learn which decisions are made differently in a company where agents exist.

The program is tailored to each function. A finance director and a technology director do not need the same foundation, and each leaves with their own.

From the very start we identify the person who will carry this transformation internally once we are gone.

They take part in the projects. They understand the architectures and the roadmap. They learn the frameworks and the rules. They receive the playbooks. They are in the room when decisions are made.

Step by step, they become your AI Lead, your Head of AI, or your future in-house Chief AI Officer.

We do not leave software behind us. We leave an organizational capability.

You know artificial intelligence is going to transform your sector. You do not necessarily want to hire a full-time executive for a role that did not exist three years ago, at twelve or twenty-five thousand euros a month, with three to six months of recruitment and no guarantee.

We take the role.

• ·We sit in your decisions.
• ·We set the priorities and arbitrate between initiatives.
• ·We coordinate your teams and your external providers.
• ·We assess your vendors and your contracts.
• ·We build the systems.
• ·We measure the transformation on your own numbers.

And we prepare your company to bring the role in-house when it is ready. It is a role in which we aim to make ourselves unnecessary.

What is not measured is not managed.

Every system we put into production arrives with its indicators, its real running cost, its audit trail and its dashboard.

• ·How many hours were actually given back, and to whom.
• ·What the monthly model cost is, system by system.
• ·Which decisions went through a human, and which did not.
• ·What errors occurred, and what was corrected.
• ·What cumulative return on investment, counted from day one.

Your executives do not take our word for it. They open the screen.

• ·An audit of your organization, function by function.
• ·Your AI Maturity Score and how it moves.
• ·Your opportunity matrix, prioritized and quantified.
• ·Your risk map.
• ·Your roadmap, alive.
• ·Your Company Brain.
• ·Your agentic systems in production.
• ·Your applications, with the code.
• ·Your teams, trained.
• ·Your Internal Champion.
• ·Your measurement dashboard.

This is not a service engagement. It is an asset booked into your company.

A monthly engagement, with no imposed term. You move up or down a tier when your need changes.

• ·Tier 1 · 5,000 euros per month. Legibility and first systems. The continuous diagnostic, your AI Maturity Score, the living roadmap, the foundation of the Company Brain, and your first agentic workflows in production. The monthly review with your executives.
• ·Tier 2 · 10,000 euros per month. Transformation. Everything in tier 1, plus the full architecture of your Company AI OS, the build delivered in waves, the harness, training for your teams and governance.
• ·Tier 3 · 15,000 euros per month. A complete operating system. Everything in tier 2, plus the Chief AI Officer function on a continuous basis, the building of internal applications and software, the multi-agent agentic organization, the training of your Internal Champion, observability and return on investment measurement.
• ·On demand · 750 euros per day. No monthly commitment. For a one-off audit, an architecture review, a technical unblock, preparing a committee session, or evaluating a vendor.

Compare that with the real cost of the alternative: a full-time Chief AI Officer, three to six months of recruiting, and one single person where a system is what is needed.

No slides. No steering committee that decides to create a steering committee.

• ·We start with a discovery call, to find out whether the subject is real and whether we are the right people for it.
• ·We make your organization legible.
• ·We put something into production fast, on a scope where the result is beyond dispute.
• ·We measure, we reorder, we start again.

By the end of the first month, you have a working system that produces value every day. Not a proof of concept.

You can spend the next twelve months watching your sector change, testing tools, launching pilots that never reach production, and starting the same cycle over again.

Or you can make your company legible, choose the three places where artificial intelligence genuinely creates value in your business, and put them into production.

The question is no longer what artificial intelligence can do.

The question is what you are going to build with it.

Let us talk.