Hours given back to your teams, measured.

Automation is only worth it if the gain can be counted. So we always start by putting a number on it, before automating anything.

Estimate your lost hours

The problem is almost never technical

Most of the companies we meet already have tools that can automate. What they lack is the map: nobody knows exactly where the hours go, which tasks are done twice, which checks stopped serving any purpose years ago.

Automating a useless process only makes it useless faster. So we start by sorting: what should disappear, what should be simplified, and only then, what should be automated.

Three offers, from measurement to adoption

Each offer can be run on its own. Together they form the full path, from the first figure to everyday use.

Measure

Process audit and gain estimate

We map your critical processes, measure the time really spent and put a figure on the achievable gain, task by task. You leave with a list prioritised by return on investment.

Hours spent on each task, once sorted

Scope

Scoping and choosing the solution

We define what to automate, with what logic and with what kind of tool. The choice of product comes last, it's yours to make, and we stay independent from vendors.

Support

AI use cases

We identify the use cases that hold up, frame the business rules and support the rollout alongside your teams and your providers.

AI governance, the part nobody talks about

Opening AI up to your teams without a framework means letting sensitive data flow to services nobody controls. We put in place what is missing almost everywhere: an understandable usage policy, clear rules on what can and cannot be submitted to a model, a choice of tools consistent with your obligations, and the minimum traceability needed to answer an audit or a client.

This is especially valued by organisations subject to GDPR as well as Morocco's Law 09-08.

From measurement to autonomy, in four steps

Step 1 of 4

01Assessment
02Scoping and prioritisation
03Steering the rollout
04Skills transfer

Scroll to move forward

What can we automate?

What should stop existing?

That's the first question we ask. Here is what happens when you sort nine tasks found in almost every company.

Remove

Nobody uses it anymore.

Re-keying supplier invoicesAutomated
A 5-step sign-off circuitA 2-step sign-off circuitAutomated
The same file copied into three foldersAutomated

Simplify

Useful, but far too heavy.

A monthly report nobody readsAutomated
Bank reconciliationAutomated
A 40-field formAn 8-field formAutomated

Automate

Useful, repetitive, no human judgement needed.

A one-hour weekly meetingA 15-minute weekly check-inAutomated
A second approval for a purchase already approvedAutomated
Chasing unpaid invoicesAutomated

A third of these tasks disappear without automating anything. What no longer exists needs neither a tool nor maintenance.

Estimate your lost hours

Five questions, two minutes, a figure and the three areas to start with.

Run the assessment

Assess your AI maturity

Twelve questions on governance, data, skills and use cases. You get a score, your level, and the three areas to tackle first.

Your AI maturity

Question 1 of 12