03 · Resources
Business AI: private and at the right cost
50 articles
Understand7 min
High-risk AI in December 2027: why not to wait
The AI Act rules on high-risk AI (recruitment, staff management, credit) will apply on 2 December 2027. Which uses are covered, what will have to be done, and why the tool choices made now decide how much effort it will take.
Stepping back6 min
Shadow AI: your employees didn't wait for your approval
A majority of French employees hide their use of AI, and some pay for their tools out of their own pocket. What the surveys say, why a ban only moves the problem, and how to frame AI use rather than pretend it does not exist.
Choose and price6 min
Switching AI models: how to do it without breaking things
In October 2026, four vendors released a new model within ten days, and Replit changed its agent's default model. What you need in place to switch AI providers when price, quality or terms change, without rewriting your tools or degrading the service.
Understand6 min
The token price falls, the AI bill rises
At equal capability, the price of an AI model was divided by more than 280 in two years. Bills, meanwhile, are rising, and unpleasant surprises are multiplying. Why both are true at once, and why the unit that matters is the cost per outcome.
Understand8 min
US AI laws: what applies to a European business
There is no federal AI law in the United States, but state laws reach anyone who sells, hires or makes decisions about residents there: California, Colorado, Illinois. What already applies, what arrives in 2027, and what a European business can prepare once for both sides of the Atlantic.
Practical guide11 min The topic guide
Integrating AI in business: private and at the right cost
For teams of 20 to 500 people, integrating AI comes down to answering five questions in order: which task, where the data goes, which model, at what price, under what rules. This guide takes them one by one and points to our detailed articles.
Understand10 min
Agentic AI: how an agent's loop works
An AI agent does not do everything in one go: it runs in a loop, gathers context, acts, checks and starts again. Understanding that loop means knowing where to put the controls, the limits and the human review.
Practical guide10 min
AI Act and GDPR: what an SME using AI must do
An SME that uses ChatGPT or a CRM with built-in AI already has obligations. This guide takes stock in October 2026: your role under the AI Act, the timetable revised in July 2026, what the GDPR requires and the steps to get compliant.
Practical guide10 min
An AI agent in production: from demo to product
An AI agent demo impresses quickly. Turning it into a tool a team uses every day takes an owner and written rules: what four public cases show, and what we run ourselves.
Understand8 min
AI agents and cyberattacks: what October 2026 teaches
An attacker breaching more than 100 websites with agents acting almost on their own, internal agents passing booby-trapped instructions to each other, test models bypassing their limits: October 2026 showed AI agents on the attacking side. The facts, and the habits that protect a business.
Practical guide10 min
The cost of AI in business: tokens, routing and forecasting
What you really pay when you use an AI through an API: input and output tokens, the context sent back with every call, an agent's turns. And a method to forecast the bill before you receive it.
Understand29 min
AI decision models: Jev, Clef, uses and costs
Jev, Clef and their rivals write nothing: they decide, with a probability attached. What these decision models are used for in each line of work, how to put them in place, what they really cost and what we make of them.