AI Consultant in Utrecht

Utrecht's banking & insurance / health & medical research / sustainability & agri-finance teams — including anchors like Rabobank, UMC Utrecht, Danone NL — generate more knowledge than anyone on the team can read. I build RAG systems and AI agents that turn that backlog (specs, contracts, wikis, compliance files) into a searchable answer layer your people use on Monday morning. EU-hosted, privacy-aligned, shipped as working software instead of another pilot parked in a demo environment.

What AI actually looks like in Utrecht's banking & insurance and health & medical research stack

Banking & insurance teams sit on documentation that never stops changing. RAG lets a specialist ask a question in plain language and get an answer pulled from thousands of pages of specs, procedures and vendor manuals — with sources. For health & medical research, AI agents watch regulation and internal-policy feeds and flag what actually touches your business. In sustainability & agri-finance, the same stack handles compliance reviews and internal policy Q&A without shipping your data to a US-hosted model. Specifically in the Netherlands: policy & product docs across brands, patient-record search, ESG reporting — as Utrecht University AI Labs addresses in its research.