I turn AI policy into practice.

Governance, communications, and the behaviour change in between, which is usually where it breaks. I work inside transformation programmes on the part that decides whether any of it lands. Twenty years across enterprise programmes and three ventures of my own.

46 markets 25+ engagements

AVAILABLE FROM SEPTEMBER FOR INTERIM AND CONTRACT WORK

01 · ENGAGEMENTS

02 · WHAT I DO

Transformation and change

Multi-market rollout, operating-model design, and the behaviour change that decides whether any of it holds.

Communications and narrative

Message architecture, executive narrative, and multi-channel engagement for audiences in the tens of thousands.

AI governance and regulatory readiness

EU AI Act and AI Pact obligations turned into policy, training, and practice that people actually follow.

From strategy to shipped

Full stack, self-hosted, deployed. Strategy that arrives as working software rather than a recommendation to go and build some.

03 · VENTURES

Strategy is easy to claim. These are what happens when I take it through to implementation.

Scatter of plotted decision outcomes with a trend line and one scored point marked.

Strateriq

Decision intelligence for the enterprise. Building the measurement layer that turns decision quality from a judgement call into something you can score, track, and improve.

venture·founder
A widening practice loop, each pass larger than the last, with the current position marked.

Decidrs

A consumer product that trains judgement the way a gym trains a body. Four drill engines and a psychometric baseline shipped; evidence programme running through the autumn.

venture·founder·visit ↗
Questions on one side, people on the other, with one match drawn between them.

Global Connect

Knowledge-matching platform. People post what they need to know, and the system routes it to the person most likely to know it.

lab build·agent-assisted
Five ideas entering a staged pipeline, one path completing to a marked output.

The MVP Lab

Self-hosted build environment where every new idea lands first. Ideas go in, running software comes out, and the ones that earn it get taken further.

infrastructure·built and operated

04 · ABOUT

Daniel de Wolf

I spent years coaching rugby, watching players decide under pressure with incomplete information, and get it right or wrong for reasons nobody could quite name. That turned out to be the same problem everywhere: in companies, in emergencies, and in ordinary life. Almost nobody measures it.

It is also the problem underneath AI adoption. Policy is the easy half. The hard half is thousands of people deciding, under uncertainty, what they are allowed to do and whether to trust it. That is the work I do inside transformation programmes.

Most of what I do is strategy, and strategy is easy to claim. So I build as well: instruments that measure decision quality and train it. It keeps me close to implementation rather than stopping at the recommendation.

Organisations bring me in when the strategy is agreed and the change is not landing.

05 · CONTACT

CURRENTLY OPEN TO

Available from September for interim and contract work. Email me and tell me what is stuck.