AI Strategy & Roadmap
Turn business goals into prioritized use cases, clear KPIs, and a roadmap — no pilot purgatory.
- Use-case portfolio & business case
- Target state & governance
- Execution plan with quick wins
AI Strategy & Automation
for Mid-Sized Enterprises
I help organizations develop and implement AI strategy — from process automation to building an internal AI operating system that makes AI usable across teams. Goal: measurable business impact, delivered securely and GDPR-aligned.
Experience as Head of Product • 10+ years Product & Delivery
- Advisory
- Delivery (PoC→MVP→Scale)
- Enablement
- AI Strategy & Product
- LLMs & Agent Automation
- Cybersecurity, Compliance & Governance
What I offer
Process Automation with AI
Analyze workflows and automate where AI truly adds value — efficient and pragmatic.
- Workflow analysis & prioritization
- Agents & assistants in processes
- Quality, cost, adoption
AI Platform (Your AI Operating System)
An internal platform that works like company-wide ChatGPT — on your data, with your guardrails.
- Secure LLM & tool integrations
- Data connectors & RAG
- Operations, monitoring, cost control
Data & AI Governance
Security, privacy, and compliance by design — practical, not bureaucratic.
- Roles & policies
- Risk/approval processes
- Documentation & training
End-to-End Delivery
I don’t just advise — I deliver with you. From prototype and MVP to rollout, together with your team.
- Prototypes with real users
- Integration into existing systems
- Enablement & handover
Why work with me
Business and Tech
Computer Science background, Head of Product (e-health), founder — I speak C-level and engineering.
Outcome-driven
Projects are scoped for measurable impact — not slides.
Security & Compliance first
Experience in regulated industries; GDPR, governance, and operations built-in.
Hands-on partner
No ‘report and run’ — I help architect, integrate, and ship.
Flexible engagement
Advisory, implementation partner, or interim — depending on your needs.
How we work
- Discovery (2–3 weeks) Use-case funnel, data/tool landscape, quick wins, KPIs, risks.
- Build (4–8 weeks) Prototype/MVP with real users, evaluation framework, cost & quality.
- Scale (8–16 weeks) Reliability, monitoring, security/compliance, enablement & change.
Mini-FAQ
How do we start?
With a compact Discovery (2–3 weeks): clarify goals, use-case portfolio, data/tool landscape, risks, KPIs and quick wins.
How do you address privacy & compliance?
Privacy by design, clear governance, roles & approvals, minimal data flows. Operates on your preferred infrastructure; GDPR as a guardrail.
What budget should we expect?
Depends on scope (team size, integrations). I work transparently with milestones and outcome targets — we’ll estimate precisely in the intro call.
Do you work with our team or independently?
Both. I partner alongside your team or take on independent work packages — always with a clean handover.
Experience
Head of Product Management · NGDA (2020–today)
Portfolio & roadmap, e-health infrastructure, product turnaround, team leadership, identity/data projects.
(Senior) Product Owner & Scrum Master · GLS ITServices (2017–2020)
Consumer portal & app, international requirements, Kanban, roadmaps, distributed teams.
Consulting & Development (Foogoo GmbH) · 2009–2017
Digital transformation, marketplace concepts, IT projects, business development, mentoring.
Diploma Thesis · Daimler (2009–2010)
Optimization of a Java enterprise application (persistence), basis for further development.
Co-Founder & Java Backend Dev · myFoogoo.com (2006–2007)
JS→Java infrastructure, XML dialect (lightweight OR-mapper), SSO integration.
IT Internship · Schenker Switzerland (2005–2006)
Hardware inventory with barcode, IT infrastructure relocation, award by Head of IT.
Technologies & Skills
Contact
I offer a free 30-minute intro call. Please share brief context.