AI Strategy & Solutions
AI strategy that arrives in operations.
Use-case discovery, portfolio prioritisation and roadmapping for large enterprises and the upper mid-market — and the support to get the first solutions actually running.
Use-case discovery
Mapping end-to-end processes together with the business functions. The result is one consolidated portfolio instead of scattered individual initiatives.
Portfolio & roadmap
Prioritisation by business value and feasibility, lighthouse use cases with a defensible business case, and a roadmap that names its dependencies.
Governance & platform
Rules, roles and platform readiness — covering requirements from the business, architecture, security and compliance, including the EU AI Act and GDPR.
Strategy is the entry point, delivery is what makes the difference.
Approach
Four steps, in this order
The order is the point. Anyone who evaluates before mapping is evaluating assumptions.
01 Map
Processes and current state with the business functions, in workshops and at the workplace — not remotely and not from a slide.
02 Evaluate
Impact times feasibility, with evidence that procurement and an architecture board can recalculate.
03 Decide
A portfolio that also says no. What does not hold up is dropped before it binds budget and attention.
04 Deliver
Accompanying the first solutions into operation — with the teams who have to carry them afterwards.
Engagements
What I have worked on recently
Semiconductor manufacturing · globally operating group
AI in quality management, across sites
A workshop series with the quality management functions, assessment of AI-supported solutions by prerequisites, implementation effort and risk, resulting in a multi-year project roadmap. Human-in-the-loop as a fixed design principle.
Financial services · large group
From prototype platform to operational readiness
Strategic steering of a company-wide AI platform initiative: assessment of platform maturity, identification of architecture gaps, security and guardrail concept — the target is operation for more than 130,000 users.
Industrial technology · global group
One portfolio instead of many initiatives
Building and steering a global AI use-case portfolio, a strategic roadmap balancing innovation, compliance and resources, plus a KPI framework that evidences progress rather than asserting it.
Mechanical engineering · industrial mid-market
Adoption the workforce actually carries
Company-wide survey and workshops to capture the potential, technical and commercial benchmarking of platforms, a communication and change concept — so the roadmap does not fail on acceptance.
Engagements are described without client or agency names and without dates. I share detail in conversation as far as confidentiality permits.
Person
Who you work with
Business Engineer from Karlsruhe Institute of Technology (KIT) and Technical University Darmstadt (TUD). More than twelve years in product leadership and technology consulting in various industries.
Where needed, additional specialists from my network of consultants and freelancers provide support.