AI agents in phase with your goals.

With what costs you time, not with the technology. The method comes down to five steps:

• list, with your teams, the tasks that come back every week;
• put figures on them: how often, and how long each time;
• hand the heaviest and simplest one to an agent: that is Task Automation;
• measure the gain 30 days after go-live;
• expand only if the result justifies it.

Not sure which one to choose? The free Flash Diagnostic suggests your first use cases in two minutes; the Scoping Meeting puts figures on them with you. If your teams already use AI without written rules, start by setting rules for it: that is what the AI Usage Audit is for.

No. We work with SMEs and mid-sized companies, small organisations included, where one person wears several hats; the Flash Diagnostic takes your size into account. An SME sometimes finds it even easier than a large group: its decision circuits are short, and a single person can lead the approach.

What matters is not size, but work that comes back often and takes up your time. You start with a task, measure, then expand.

No. The technical skills are on our side. Above all, you need someone who knows the work being handed over, its exceptions and its rules: that knowledge is what makes a good agent.

For an SME, hiring an AI specialist is rarely useful at the start: the profile is scarce and expensive, and an isolated specialist soon burns out. Better a business leader who drives the approach and an internal lead, who knows the work and keeps the agents alive. If you have an IT department, its main help is opening access to your tools.

Software that does a piece of work for you, within your tools, following your rules. It receives a goal, chooses the steps to reach it and acts: it reads an email, checks that an order exists, updates a customer record, drafts a reply. It applies your timeframes, your prices, your way of answering a customer, and hands over to a person as soon as a decision commits the company.

It is not a robot: it has no physical form. Depending on your need, you hand agents a task (Task Automation), a process (Process Agent) or an entire business domain, such as customer service (Business Agents).

No: an agent takes on tasks and processes, not a whole job. It absorbs the repetitive work; what requires judgement stays with people: deciding, handling exceptions, looking after your customer relationships. The person who used to do the work supervises the agent and approves what needs approving.

In an SME, the time freed up first goes to what had been put off for lack of time: following up customers, preparing quotes better.

The agent does the work itself, within your tools.

• An assistant such as ChatGPT, Copilot or Mistral Vibe helps a person write or summarise; that person stays in charge.
• A chatbot answers in a chat window, often from a list of answers.
• Traditional automation always runs the same sequence of actions, without understanding free text.
• An agent understands a request, chooses the steps and acts, within a set framework.

Traditional automation is not obsolete: for work that never changes, it remains the simplest and cheapest solution, and we will tell you so. The two are often combined: the automation triggers the agent, the agent handles the case.

In seven steps, from the free meeting to follow-up:

• the Scoping Meeting: one hour, then a written report within 72 hours; the Flash Diagnostic, two minutes online, prepares it;
• an audit, only if your case calls for it;
• your quote, within 7 days: the price, the expected result and the page that says where your data goes, attached to the quote or the contract;
• the build: for a process or a business domain, in two-week stages, each ending with a demonstration;
• the check on your real cases, go-live and onboarding;
• final approval, linked to the agreed result;
• Monitoring, if you choose it: a three-month commitment, then monthly.

You only go further if the result justifies it.

The starting point, and the proof. Many trials prove that something is possible, not that it is useful: chosen because they could be demonstrated, with no agreed indicator, tested on hand-picked data, with nobody to take things forward. We do the opposite:

• work chosen for what it costs you today;
• indicators agreed before signing, measured from the start;
• a check on your real cases, exceptions included;
• who decides what, written down before go-live;
• what comes next organised: an internal lead at your company, and Monitoring offered.

In France, 4 in 10 small businesses and SMEs use at least one AI solution, and 11% already automate tasks with AI, up from 5% a year earlier, according to the France Num 2026 barometer from the French Ministry of the Economy. The trend goes beyond France: over 60% of organisations worldwide plan to deploy AI agents within two years, and 17% had already done so in 2025 (Gartner, 2026 Hype Cycle for Agentic AI).

To see where your company stands, the free Flash Diagnostic gives you your level of AI maturity in two minutes.