AI & Data Strategy
Frameworks that survive contact with reality. Designed at Siemens across multiple Business Units, adapted to your context.
Selective engagements with startups and corporates — AI strategy, data roadmaps, and validated proofs-of-concept. Grounded in academic rigor, sharpened by industry execution.
Frameworks that survive contact with reality. Designed at Siemens across multiple Business Units, adapted to your context.
End-to-end PoCs that reduce hours of manual work to minutes — and a clear path from prototype to production.
Industry-oriented design guidelines for AI that users actually trust — informed by peer-reviewed research.
Multi-method UX research to validate that the AI you're building solves the problem your users actually have.
1 · Conversation. Tell me what you're trying to do and what's blocking it.
2 · Diagnosis. A short, written read of the problem and the cleanest path forward.
3 · Engagement. Either an advisory cadence or a focused build sprint, depending on what you need.