AI agents: what they can and cannot do in a business process
Agents that carry out tasks independently are the promise of the moment. Where they work, where they break down, and the question you need to answer first.
AI decisions that hold up
I help CIOs, CDOs and AI leads decide where AI actually creates value, which vendors fit, and how to stop pilots turning into expensive side projects.
AI in Europe
Not my clients. Examples of what happens once AI moves past the pilot stage.
Sweden
AI customer service assistant
Germany
Fashion assistant for product advice
Investment firm
AI strategy and use-case portfolio
Netherlands
AI Trip Planner for travel planning
Germany
Industrial Copilot for engineering
Enterprise retailer
AI-driven vendor selection
Sweden
AI DJ and personalized playlists
Germany
Generative voice assistant in the car
International manufacturer
AI roadmap and leadership
Netherlands
Generative chatbot for customer queries
France
Beauty Genius: personalized advice
Financial services firm
KYC accelerated with AI document analysis
Germany
Joule: copilot in business software
France
Hopla: grocery shopping assistant
SaaS scale-up
AI readiness assessment
Netherlands
AI-driven payment optimization
Netherlands
AI in medical imaging
Professional services firm
Internal AI assistant for knowledge workers
Why independent?
How I help
Where does your organization actually stand with AI? We map the opportunities, risks and prerequisites before budget gets committed.
From ambition to a realistic AI roadmap that fits your business, people and resources, board-ready in six weeks.
Experienced AI leadership on an interim basis. I steer, build alongside your team and embed AI initiatives, without you hiring a full-time executive right away.
What are we actually trying to solve?
Which use cases earn money, time and attention?
Build, buy or partner, and why?
How do we make sure it actually lands?
Recent work
Challenge:
No clear AI priorities, and fragmented ideas without business impact.
Challenge:
Choosing AI solutions on gut feel instead of value and fit.
Challenge:
No coherent AI strategy, and scattered pilots that never scaled.
What clients say
“Dave brings structure to AI chaos. He asks the right questions and comes up with concrete, workable choices.”CFO, investment firm (Translated from Dutch)
“No thick reports, just a clear plan we could act on straight away.”COO, retail organization (Translated from Dutch)
“Finally someone who translates AI into value, not technology.”CEO, industrial company (Translated from Dutch)
My independence commitment
My income comes entirely from the advisory hours you pay for. No vendor pays me anything, in any form. That is why I can advise "no, don't buy this" without it costing me money.
When a project needs more hands than I have, I introduce vetted partners for execution, for development, data or training. You contract them directly. I take no margin and no commission on their work.
Insights
Agents that carry out tasks independently are the promise of the moment. Where they work, where they break down, and the question you need to answer first.
Most AI strategies don't fail on the strategy itself, but on translating it. Three steps that force that translation.
The question is rarely "can we build this ourselves?" but "do we still want to be maintaining this in three years?" A decision framework in four questions.
Not the most spectacular, but the most boring. Four traits the winners share, and four patterns that almost always stall.
Ready for impact?
Book a no-obligation call. No pitch. Just sharp questions.