Grip on AI for your whole organisation

Grip on AI means you know which AI your organisation uses, where your data goes, and whether you can switch suppliers. Miss one of those three and AI stays something individual employees do, with nobody able to take responsibility for it. We split that into three pillars: grip on security, grip on independence and grip on adoption. The three depend on each other: security without use gives you nothing, and use without security is a risk.

Because a pilot usually tests the technology instead of the use. A few accounts appear, an enthusiastic group starts playing with it, and then it fades away because the work around it never changes. What is missing: a set-up built on your own processes, guidance for the people doing the work, and someone tracking usage and adjusting as you go. In our baseline assessments 62% of employees rate their own AI skills as basic or lower, while 82% want to do more with it. The appetite is there, the guidance is not.

By starting from the work instead of from the tool. Front-runners find their own way; the rest need assistants that already know their tasks, and someone to show them how. We set the platform up around your processes, collect use cases from the teams themselves, and stay close during the first weeks. After that we measure the usage, because adoption you do not measure is adoption you cannot steer. At Cornelissen Bouw more than 80% of employees work with the platform this way.

Yes, as long as you know where your data sits, who can reach it, and whether it is trained on. At AIStudio storage is on Dutch servers, processing happens inside the EU, and we have it in writing with every model supplier that your input never trains their models. Our platform is developed and maintained inside the ISO 27001 and NEN 7510 certified management system of DIJ, the company that builds our software; certification in our own name is in progress. What that lets you show a client, an auditor or a regulator is on the page about secure AI.

Not if your set-up is separate from the model. At AIStudio your assistants, prompts and knowledge base live on a neutral layer above it, so you switch between OpenAI, Anthropic, Google, Mistral and open models without starting over. That is insurance and convenience in one: the best model per task, and a way out if a supplier disappears. How that works is on the page about vendor-independent AI.

With an honest picture of where you stand today. That does not have to be a research project: the AI Grip Scan is fifteen questions and gives you a report with what is already in place, where it can go wrong, and where the gains are. If you go further, every project with us starts with a baseline assessment among your own employees, so you steer on numbers instead of gut feeling. After that come four phases: grip, start, adoption and growth.