Agent-based AI : How Can You Maintain Control Over Your Data ?

Key Takeaways :

• 2026 marks the arrival of a new generation of agent-based AI tools capable of performing end-to-end actions (creating, modifying, classifying, sending) without direct human intervention.
• In the corporate world, employees become the supervisors of these agents, which interact with business data on a daily basis.
• Most of these solutions rely on cloud infrastructures located outside the EU, raising questions of sovereignty, security, and regulatory compliance (GDPR, NIS, AI Act, DORA).
• Rcarré addresses these challenges with Angèle, a locally operated sovereign AI platform that enables the deployment of business-specific agents while keeping data within the company’s perimeter.
• The goal is not to adopt AI at any cost, but to do so within a controlled framework that complies with current regulations and ensures data traceability. Only under these conditions can AI projects produce measurable results and deliver a return on investment.

Whether through new web browsers like COMET (Perplexity) and Atlas (OpenAI) or via AI agents such as COWORK (Claude) and OpenClaw, 2026 marks the dawn of agent-based AI.

Not a week goes by without a new innovation disrupting corporate work habits.

These programs are now capable of performing tasks on your behalf, autonomously and based on their own interpretation. Creating, modifying, deleting, and organizing files, accessing a presentation—all without any human intervention.

As a result, the role of employees is set to evolve toward supervising the actions carried out by these agents.
While these new applications generate enthusiasm, they also raise legitimate questions, particularly regarding data security.

To address these challenges, Rcarré offers its clients its artificial intelligence platform, which is local and 100% controlled, named Angèle. Developed by R-Lab, its subsidiary dedicated to innovation, Angèle enables companies to leverage their internal knowledge while ensuring a high level of security.

Explanations in this article.

AI assistants, generative AI, AI agents: what are we talking about ?

The term “AI” encompasses several different types of software tools, which can be confusing.

• Public Large Language Models (LLMs) are language models capable of generating text, images, or code based on instructions formulated in natural language, using queries known as “prompts.” ChatGPT, Gemini, and Claude are the best-known examples. The data entered by your employees is transmitted to external servers controlled by these companies and may potentially be used to train their models.

• AI assistants and “copilots” integrate these prompts directly into existing applications, platforms, and tools. This is the case, for example, with Copilot, the AI solution integrated into Microsoft products. These assistants guide the user in performing specific tasks, generally limited to the tool being used. The most common use cases include writing text, quickly searching for information in an FAQ, or analyzing data from predefined sources.
• Private LLMs are deployed in isolated environments with no external exposure. More specialized than public LLMs, they are designed to perform specific tasks. To guide your employees’ use of AI, it is important to understand the differences between these tools and the risks associated with them. To support our clients in addressing these challenges, Rcarré will launch its artificial intelligence offering in 2026. We want to empower companies to manage their risks and maintain control over their data.

A profound shift in business practices

With artificial intelligence, employees are now “augmented.” With a simple subscription, it’s possible to automate a range of operational and standardized tasks:

• the automatic transformation of content, such as converting long videos into short formats or modifying a presentation on demand;
• the execution of repetitive tasks, such as updating customer databases, managing calendars, or handling email;
• the orchestration of third-party applications and tools : CRM, collaborative platforms (M365, Google Workspace), and business tools.

By delegating a set of recurring tasks to agents, employees grant autonomy to these tools, sometimes without fully understanding their actual scope of action and the inherent risks.

Integrating AI agents into businesses : Why must this be approached through the lens of sovereignty ?

To function, AI agents must communicate with servers, which are most often located outside the European Union. As a result, for every request, the data provided by the employee is transmitted to third-party companies, over which you have no control.

It is essential to ask questions about these data flows: Where does the data you send to AI agents pass through? Who can access it? What control does your company really have over the actions of service providers?

As Pierre-Mathieu Roche, Strategic Consultant at Rcarré, points out: “Outsourcing the execution of your daily operations to solutions with opaque operations amounts to exposing your company’s information assets.”

Foreign AI providers are not automatically subject to European data protection requirements (GDPR) or cybersecurity regulations (NIS, AI Act, DORA).

In this context, some companies have chosen to develop sovereign alternatives, such as Rcarré, which offers an artificial intelligence solution specifically designed to meet these data control and security requirements.

Angèle, the independent AI that lets you stay in control of your data.

Rcarré has developed a sovereign artificial intelligence solution based on a simple vision, summed up by Pierre-Mathieu: “Stop sending your data to AI—bring AI to you.”

Designed, hosted, and operated in compliance with European regulations, this approach reconciles compliance and governance while ensuring strict control over data flows and processing.

In practice, Angèle enables the deployment of agents tailored for specific tasks and dedicated to marketing, administrative, sales, or technical functions.

Trained on your data, Angèle provides responses consistent with your company’s context. Unlike foreign providers, Rcarré offers local support and guidance from its experts. Our clients thus benefit from advice and ongoing support before, during, and after the deployment of their artificial intelligence projects.

This enables the transformation of use cases into concrete, measurable results aligned with business objectives, and generates a return on investment from a technology that is still underutilized in organizations.

Private and on-premises, Rcarré’s AI agent platform thus offers a credible alternative to the “black box” tools that are public LLMs, by reducing technological dependencies and rebalancing the relationship with suppliers.

With Angèle, LLMs and AI agents operate in a isolated environment, either directly on your premises or within a Luxembourg data center operated by Rcarré, without any data leaving your infrastructure.

The use of AI cannot proceed without ensuring data traceability and regulatory compliance.

With AI agents capable of acting autonomously within information systems, traceability is more essential than ever to remain compliant with regulations such as the GDPR, the AI Act, and, where applicable, the requirements of sector-specific regulators such as the CSSF.

Companies must be able to provide evidence: who used which agent, on what data, when, and for what purpose? Without this information, it becomes difficult to document an incident, conduct an audit, or demonstrate control over risks associated with automation.

Angèle is designed with this logic in mind: each user’s actions are logged so that you know exactly what is being done, with the help of which agent, and the volume of data processed.

For greater privacy and control, the agents’ memory is partitioned so that a user has access only to the data that concerns them.

Finally, Rcarré’s AI agent platform enables the generation of actionable reports for IT teams, business units, and compliance teams, providing them with a factual basis to manage usage, adjust permissions, and respond to requests for evidence in the event of an audit.

Rcarré supports your AI projects with Angèle, from launch to funding.

Rcarré works with Luxembourg-based companies to help them define their use cases and handle the technical deployment of their artificial intelligence projects.

The Angèle platform and its marketplace offer ready-to-use agents and tools that can then be adapted to each organization’s processes.

Developing AI solutions that are both sovereign and operational at the enterprise level requires months of work and significant investment, if only in terms of infrastructure. Angèle, on the other hand, is a fully developed solution, operated end-to-end by Rcarré.

To facilitate SMEs’ access to these projects, companies in Luxembourg can partially rely on the public programs Fit 4 Digital and SME Package AI, which fund up to 70% of eligible costs, up to a limit of 25,000 euros excluding VAT.

Rcarré offers to incorporate the financial aspect into project preparation by assisting companies in putting together and tracking their grant applications.

Are you looking for a local, efficient, and secure AI solution? Contact our team.