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What we have built. In production, at real organisations.

Not demos, but solutions that run every day. A selection of our work.

Case · Bouwend Nederland

Bouwend Nederland

For Bouwend Nederland we built an AI tool that analyses large volumes of documents and turns them into a comparable overview through a matrix interface. With RAG and vector search, dozens of documents can be queried at once on the same questions, including source fragments for transparent decision-making.

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Case · The Hague & Partners

The Hague & Partners

For The Hague & Partners we built an integrated AI platform that automates the entire campaign process within their existing Microsoft environment. From quote to live content: one end-to-end workflow with secure data integration, higher speed and maximum consistency.

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Case · TNO

TNO

For TNO we set up a GenAI Business Consultant Team that systematically links generative AI to strategic objectives and revenue impact. Through structured use case identification, impact/effort prioritisation and rapid validation, AI shifts from isolated productivity gains to scalable business cases and profit growth.

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Case · Universiteit Leiden

Universiteit Leiden

For Leiden University we developed the Gen-AI Labs, in which multidisciplinary teams build their own generative AI prototypes across three sessions. After more than fifty AI trainings, the focus shifts from AI literacy to identifying, testing and further developing concrete use cases within the organisation.

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Case · Stichting DEN

Stichting DEN

For DEN we built an interactive culture-chatbot web app in which multiple AI personas, each with its own role, tone and scope, directly support cultural professionals, all drawing on a single centrally managed knowledge base. Fragmented information turns into accessible, consistent and on-brand conversations that don't just unlock knowledge, but make it practically applicable.

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Case · TNO

TNO

For TNO we ran a Way of Working programme in which teams don't just learn about AI, but directly build working AI agents and automations within their own technology stack. This shifts AI from inspiration and isolated pilots to scalable, transferable solutions with structural impact on productivity and ways of working.

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