Consulting
New businesses, new revenue, new ventures — built inside established companies, with AI as the lever.
I help banks, insurers, energy operators and industrial Mittelstand build new AI-driven businesses, products and revenue streams — and bring them to market alongside the IT, risk and compliance teams who'll own them long after launch.
I work with executives who are serious about shipping. In practice, that means I spend as much time on the internal dynamics — data access, compliance review, vendor procurement, stakeholder alignment — as on the product itself. That's where the time is lost, and that's where I add the most value.
I've done it before
AI doesn't create growth on its own.
Building the technical product is maybe ten percent of the challenge. The other ninety is everything that turns it into a business: the proposition, the customers, the data, the integration, the alignment across business, IT and risk.
90%
How I work
Three different modes
I come at this from two directions simultaneously. I've built companies with my own money, made every mistake worth making, and kept going. I've hired people and had to let them go. I've built products that reached millions of customers across some of the most prominent institutions in European financial services.
But I've also spent enough time inside large organisations like banks, asset managers or insurance companies to know exactly where new initiatives die. The governance cycles that outlast the original sponsor. The compliance review that quietly becomes a veto. The data isolation requirement nobody mentioned in the kickoff. The stakeholder who wasn't in the room but turns out to matter most.
That combination — entrepreneurial judgment and enterprise fluency — is exactly what AI execution inside a regulated organisation demands. Founder speed where it helps, institutional patience where it's required, and the experience to know which is which.
My core focus is financial services, insurance, energy operators and industrial Mittelstand.
Depending on the engagement, I help with:
Stress-testing AI strategies and turning them into a sequenced, fundable roadmap
Designing how agentic and generative AI actually need to operate inside a regulated org — data, permissions, oversight, fallback
Identifying and validating new AI-enabled revenue streams
Working through compliance, data security and IT security requirements early, not late
Navigating legacy infrastructure and finding pragmatic ways to build around it
Aligning stakeholders and keeping governance from becoming a silent veto
Managing vendors, partners and procurement (including AI vendor selection)
Running on-site workshops to build alignment and decision-quality fast
Managing execution across product, UX, engineering and go-to-market
Hiring the right people and partners
Getting products to market — and to revenue











