Architect · Builder · Leader
VP, Cloud & Platform Architecture at Deutsche Bank. I design the operating models, governance architectures, and platform systems that make AI deliver in regulated financial services. My work spans two layers: the management systems firms need to scale AI, and the protocol infrastructure that makes advanced agentic AI reliable.
Flagship Work
The management system for enterprise AI.
Why 95% of enterprise AI programs fail to deliver P&L impact, and what the 5% do differently. Five operating principles, four maturity stages, and the governance, architecture, and measurement frameworks that convert AI capability into business value. Includes an interactive AI Readiness Assessment with shareable scorecard.
Read the playbook The framework Take the assessmentData platform architecture for regulated enterprises. Mesh patterns, quality frameworks, lakehouse design, and the operating model that makes data AI-ready.
ReadResearch
Protocol and reasoning infrastructure for trustworthy multi-agent systems.
This research explores the technical layer beneath enterprise-scale AI governance and delegation. Published papers with interactive explainers and experiment code.
~12x latency reduction on easy tasks, 37% fewer tokens, 96% attack detection. Six research questions with honest null results.
Interactive paper arXiv+0.95 over debate on non-routine tasks. 9.56 on hidden-profile (best in study). Debate wins on routine tasks. 62x cost not justified.
Interactive paper arXivSelected Writing
Enterprise AI strategy, governance, and systems architecture.
The gap between AI strategy documents and execution systems. Why the organizational share of the problem outweighs the technical one.
ReadWhy traditional model risk management fails for LLMs. Hallucination policy, GenAI risk dimensions, deployment gates, and what a complete governance framework looks like.
ReadAI programs fail at the middle layer. The people who should be supervising AI-augmented workflows were never equipped to do it.
ReadOpen Source
Selected infrastructure projects.
RAG patterns benchmarked for enterprise. Five chunking strategies, five retrieval patterns, evaluation harness, guardrails, and observability.
AI governance for regulated industries. Risk classification, model lifecycle controls, EU AI Act mapping, and worked examples for credit scoring and fraud detection.
Background
Contact
Open to leadership conversations.
If you're shaping the next stage of enterprise AI capability, data platform modernization, or technology transformation — I'd welcome the conversation.