A single enterprise AI platform on a flat rate: the day you stop paying five subscriptions

You pay one AI subscription for yourself. Your business partner pays another. Your assistant pays a third. Nobody shares the same context. Everyone rephrases, everyone starts over, everyone wastes time explaining what the company already knows. Add up the costs. Not just the monthly invoices — the time spent copy-pasting from one tool to another, the contradictory answers depending on which model was used, your company data scattered across personal accounts you don't control. What many business leaders are looking for does exist: an enterprise AI platform on a flat rate, with multiple models under one roof, shared memory, and a readable price. The category is called enterprise AI aggregator. It brings together tools that give access to multiple artificial intelligences in a single workspace, with a single invoice and data that remains under the company's control. This article sets out the criteria that matter for an SMB, what Anakoro Atelier does in practice, and what it does not do.

The category is young. The criteria are written nowhere. Here are the ones that matter when you run an SMB of fewer than fifty people and you don't want to become a system administrator.

One AI model excels at writing. Another at data analysis. A third at summarising long documents. The problem is not choosing the right one — it's having to open an account, pay a subscription and re-enter your context every time you switch. An enterprise AI platform on a flat rate gives access to multiple models in the same workspace. You ask your question. The tool selects the most suitable model, or lets you choose. Your context, your files, your history remain the same regardless of which model is used. Anakoro Atelier works exactly like this. Multiple models available, no lock-in to a single provider. The day a new model becomes more capable, it enters Atelier without you changing anything about your habits.

When each person in the company uses their own AI account, the answers don't talk to each other. Your sales rep gets one version of the product positioning. Your assistant gets another. Nobody knows what the AI told the other person. No shared history exists. The decisive criterion of a team AI aggregator is the shared workspace. Not conversation sharing — a common foundation of context: who your clients are, what your business does, what your internal conventions are. If you have already read comment construire une mémoire d'entreprise avec l'IA quand on n'a pas de DSI, you know that it is this memory that changes everything. Atelier is built around this company memory. Each seat accesses the same context. When a team member enriches the knowledge base, the whole team benefits.

Your company data has no business sitting in a personal AI account that your employee takes with them when they leave. Many business owners don't think about it until the employee is gone. By then, the conversations, analyses, and processed documents have disappeared with the account. A fixed-rate AI software for a business must isolate data by organisation. The owner controls who accesses what. Conversations remain the property of the company. Export is possible at any time. At Anakoro, Atelier data belongs to your organisation. Not to the user's personal account. Not to the AI model provider. To you. This is also what distinguishes an enterprise AI platform from a stack of individual accounts — the subject of la dépendance aux outils SaaS is not abstract when your AI data leaves with an employee.

The cost question is the most frequently asked. It is also the most poorly calculated. Here is how to ask it honestly.

How much does AI cost for an SMB that wants the whole team to have access? Not just the displayed price — the real cost. Count your individual AI subscriptions. Add the time each person spends rephrasing their context every week — two to four hours, often. Multiply by the fully loaded hourly rate. Add the risk of data scattered across accounts you don't control. The result exceeds what most business owners imagine. And it doesn't even produce any shared memory. Every month, the company pays, and every month, the AI starts from scratch. That calculation, you can do it tonight with a sheet of paper and ten minutes. It raises the real question: are you paying for AI, or for assisted copy-pasting?

Anakoro Atelier offers four plans, all priced per seat per month. No surprises, no usage-based billing, no token counter running in the background. The first tier starts at 19 euros per seat. The second, at 49 euros, gives access to more models and extended company memory. The third, at 149 euros, covers the intensive use of a team that works with AI daily. The fourth, at 199 euros, is designed for organisations that want maximum power and capacity. Every tier includes multi-model access, the team workspace and data control. The difference between tiers relates to volume, the number of accessible models and the depth of memory.

Atelier replaces the stack of individual AI subscriptions your team accumulates. One subscription for writing. Another for analysis. A third for code or spreadsheets. Each at its own price, each with its own account, none sharing the company's context. A single Atelier plan replaces this stack. The company that wants to explore the topic of sobriété numérique often starts here: reducing the number of tools, not the power. What Atelier does not replace: your specialist business software, your accounting (that is the role of Anakoro Gestion), your CRM (that is Le Cercle). Atelier is the AI workspace. It does that job, and it does it well.

Beyond price, it is the day-to-day functioning that changes. Here are three concrete situations.

You open Atelier on Monday at 8am. The company memory already contains what your sales rep worked on Friday: the summary of a prospect call, the objections noted, the questions left open. You don't need to ask for anything. The context is there. You ask a question to the model best suited to commercial analysis. It responds taking your client history into account, not a generic context. You prepare your follow-up in ten minutes instead of forty. Not because the AI is smarter — because it remembers. This is exactly the problem raised in pourquoi votre IA oublie tout ce que vous lui dites. Shared memory solves that problem once and for all.

Your partner sends you a thirty-page contract. You don't have time to read it all before the 4pm meeting. You upload the document to Atelier. The model specialised in document analysis produces a structured summary in three minutes. Points of attention are highlighted. Unusual clauses are flagged. Your assistant accesses the same summary from her Atelier seat. She prepares the questions for the meeting while you finish another file. No rephrasing needed. The document, the summary and your company context are in the same workspace. This is not a promise. This is what an enterprise AI workspace does when memory is shared and models are accessible without friction.

An employee leaves the company. With individual AI accounts, their conversations, analyses, and processed files leave with them. You don't even know what they asked the AI over six months. With Atelier, the seat is deactivated. The data stays within the organisation. The context built by that team member still enriches the company memory. The newcomer picks up the thread without starting from scratch. Anakoro is a French-language business suite where AI is not a module bolted on as an afterthought — it is the structure that connects contacts, accounting, recruitment and visibility in a single memory. Atelier is the workspace where this AI works with your team, every day.

Atelier is built for SMBs of two to fifty people who want the whole team to use AI within a controlled framework. One plan, multiple models, shared memory, data that stays yours. It is not built for a company looking for a single AI model specialised in a very niche domain. It is not built for a freelancer working alone who has no need for shared memory. And it is not built for those who want everything free — Le Cercle is free, Atelier is not. If you have counted your AI subscriptions and the total surprised you, you already know why this page exists. Frequently asked questions How much does Atelier by Anakoro cost? Atelier offers four plans priced per seat per month: 19, 49, 149 or 199 euros. No usage-based billing, no hidden counter. Every tier includes multi-model access and the team workspace. The difference relates to request volume, the number of accessible models and the depth of company memory. Can I export my data if I leave Anakoro? Yes. Your data belongs to your organisation. You can export it at any time. Anakoro does not hold your information hostage. If you leave, you leave with what is yours. What does Atelier concretely replace in my SMB? Atelier replaces the stack of individual AI subscriptions your team members each pay on their own. A single plan gives access to multiple models, in a shared workspace with common memory. It does not replace your accounting software or your CRM — those roles belong to other Anakoro modules. How long does it take to get started? Creating an Atelier workspace takes less than five minutes. Adding seats for your team is immediate. Company memory builds up through use — every conversation, every processed document enriches the shared context. Seven days of trial with no commitment let you measure the difference before you commit.