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About

Ids Achterhof

Most companies are still bolting AI onto existing processes

A chatbot here, a copilot there, same workflows underneath. It saves time on the margins. But that’s not transformation — that’s a fresh coat of paint on the same house.

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So what does the next level look like?

Agents that own entire workflows. Specifications precise enough that machines execute them without hand-holding. Teams that stop managing AI tools and start managing AI outcomes. The shift from AI-as-assistant to AI-as-infrastructure. Most organizations aren’t having that conversation yet. I’ve been living in it.

I started at CMG Advanced Technology Division

Pure R&D, before any of this was commercial. I built tracking and tracing systems and 2D barcode solutions before Google Maps went online. I worked on cell broadcasting systems that would later underpin things like Apple’s Find My iPhone. I wrote one of the first smartphone apps on a Nokia, before 2001. That early love for R&D never left — what changed is where I point it. For the past 25 years, the pattern has been the same: find the gap between what technology makes possible and what businesses and their engineering teams are actually doing with it. Then close it.

That’s meant coaching over a hundred engineers

Building training programs from zero. Walking into enterprise teams buried under 20+ person-years of legacy and getting them to ship again — and helping them find their fire again. The technology is only ever half the problem. Getting smart people to move is the other half.

Today

We build agentic AI agents and personal assistants that deliver results, not dashboards. I’m working on agentic workflows and agentic development pipelines.

Selected work: ProjectenKalender — a 10TB RAG system in production. Digitization architecture for Rotterdam’s port logistics. Satellite WiFi onboard KLM flights.

I split my time between building, innovation, talking to passionate people, and family — roughly in that order of addiction.

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