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Deploying AI in your company raises four questions: how do you control who accesses which data? How much will you spend on tokens? How do you keep hallucinations out? Where does your data end up? This whitepaper sets out a model for deploying AI safely, designed for the European regulatory framework, with sovereignty over your data and governance of every access.
Request accessSix European regulations apply to an enterprise AI deployment, and most of them ask for the same things in different words. This manual reduces them to four common questions and explains what each one requires, of whom and from when. It covers the four layers of data sovereignty. A shared reference for executives, business, technology and legal teams.
Request accessDeploying AI in your company raises four questions: how do you control who accesses which data? How much will you spend on tokens? How do you keep hallucinations out? Where does your data end up? This whitepaper sets out a model for deploying AI safely, designed for the European regulatory framework, with sovereignty over your data and governance of every access.
Download the whitepaperPlenty of people use MCP every day without knowing what it is. What the Model Context Protocol is, how it works under the hood, its advantages and limitations, and the best practices you need to use it without losing control of your data.
AI agentsGiving AI chat to every employee saves each person a few minutes, but that time does not turn into company results. The return appears when AI works on processes, which means redesigning them, measuring them and giving agents the business data under control.
AI agents"The agent has guardrails, so the data is protected." That sentence conflates two things operating on different planes. Guardrails watch what the agent says; they don't govern what it accesses. Only structural, reproducible access control protects the data — because it isn't statistical: it's deterministic.
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