Enterprise Architecture · AI Governance · AI Production
Complex organisations need more than AI initiatives. They need governable AI operating models.
I help organisations structure fragmented IT‑landscapes, establish AI‑initiatives in line with governance requirements, and transition them into stable, production‑ready operating models.
Areas of Expertise
Three disciplines. One integrated perspective.
Enterprise Architecture, AI Governance, and AI Production — not as separate fields, but as an integrated advisory service for organisations facing complex IT and transformation requirements.
Enterprise Architecture
Business capability modelling, target architectures, roadmaps, and governance — to integrate AI capabilities into a coherent and sustainable framework.
AI Governance
Four-level AI governance frameworks — strategic, architectural, operational, technical — aligned with the EU AI Act and sector-specific regulatory requirements.
AI Production
AI operating models, agentic system architectures, observability, guardrails, and pilot-to-production trajectories for controlled deployment.
Workshops & Advisory
Six structured workshops.
From the first AI idea to a governable operating model — each workshop corresponds to a precise stage in the transformation journey.
AI Discovery
Inventory and prioritise AI initiatives
02Agentic AI Discovery
Structure AI agent use cases for governance
03AI Strategy
Develop an AI strategy at executive level
04AI Governance Journey
From pilot AI to audit-ready governance
05AI Operating Models
Drive AI from pilot mode into production
06Prompt Leadership
Structure and govern AI use across the organisation
Insights
Analysis & Perspectives
Governable AI Operating Models: A Framework for Production Deployment
More than 40 percent of all AI projects never reach production. The reason is rarely the technology. It lies in the absence of an operating model. This article presents a framework of eight building blocks that makes AI systems manageable, accountable, and scalable.
AI GovernanceFrom Prompt Engineering to Prompt Leadership
Prompt engineering has been commoditised. What organisations need is a leadership discipline: the ability to define which tasks AI should perform, what a good result looks like — and who is accountable for it. The MOTIVE Framework provides the structure.
Initial conversation
Let's talk about your situation.
A 30-minute conversation to assess your context and determine whether and how I can support you. No commitment · Confidential · Concrete.