AI Transformation
From ungoverned AI to a stack you can govern, audit, and scale. Diagnosed across five dimensions, delivered as a roadmap.
Most enterprises approach AI the wrong way around. They find a compelling use case, buy a vendor tool, run a pilot, and try to scale, only to discover the data is not ready, governance is absent, and the talent is fragmented. What began as fast wins becomes a patchwork of disconnected experiments with no architecture underneath. They harness the horse by its tail.
The root cause is almost never technical. It is strategic: nobody asked what level of AI maturity the organization operates at today, what level it needs to reach, and what the structured path between those two states is. This service answers exactly that. It maps your AI readiness across five dimensions and hands you a roadmap you can execute, not a report that sits in a drawer.
The methodology is my own, developed in its own terms and terminology. It is not improvised either. It is adjacent to established maturity-model research in the lineage of Brinkkemper (Utrecht), and informed by the model-based method work I was part of in the publicly funded BMBF research projects SPEDiT and SpesML at Validas AG. Adjacent in method, independent in substance.
The engagement, step by step
Five dimensions feed a structured process. Every step is a defined deliverable, and the roadmap at the end is the one your team executes against.
Further reading: Why most enterprises get enterprise AI wrong, and how to fix it.
