Connecting business strategy, architecture, and engineering
Enterprise AI Architect & Transformation Advisor
I turn enterprise AI from strategy decks into production systems that actually run the business.
I design and operationalize enterprise AI systems — from data platforms and semantic layers to production AI — bridging business strategy, architecture, and engineering execution to deliver measurable business impact.
Trusted by enterprises across telecom, energy, media, and research — in the Nordics and internationally.
What I Build
I design the platform layer beneath AI — the architecture that makes intelligence sustainable, governed, and useful at enterprise scale. Not the model. The system around the model. That's where most organizations get stuck, and that's where I operate.
Enterprise AI Architecture
I design end-to-end AI systems — from data ingestion through ML deployment to business applications. Not a component. A system that connects strategy to execution across the organization.
Analytical Data Platforms
The System of Truth
I build the governed data backbone enterprises need before AI can scale — unifying structured and unstructured data into a single, trusted foundation for analytics, ML, and generative AI.
Knowledge Graphs & Semantic AI
I design ontologies, semantic data models, and knowledge graphs that turn fragmented enterprise data into contextual, machine-readable intelligence. This is where AI goes from pattern-matching to reasoning.
AI Factory & MLOps
I architect production environments for training, deploying, and operating ML and GenAI at scale — GPU infrastructure, repeatable pipelines, and lifecycle governance. The factory floor for enterprise AI.
AI Transformation & Enablement
I align leadership, teams, and processes around a realistic AI transformation roadmap. Strategy without architecture is a slide deck. Architecture without adoption is a science project. I connect both.
Why AI fails
Why AI Fails — and Where I Operate
Here's what I've seen across 15 years and four industries: AI doesn't fail because the technology is wrong. It fails because nobody connects business intent to technical execution. Leadership defines a vision. Engineering builds what they understand. And somewhere in between — in the space where strategy should become architecture — the value disappears. That space is ungoverned, unowned, and misunderstood. I've built my career in that space.
Business Intent
What leadership wants the business to achieve.
Translation Layer
I operate here, connecting business strategy to systems design.
Architecture & Platforms
The platform and system layers that make AI operational.
Execution & Adoption
Delivery, adoption, and business uptake that create value.
I translate business strategy into AI systems architecture.
I connect strategy, architecture, engineering, and execution into one governed flow.
I turn AI ambition into production platforms that deliver traceable business value.
Designing systems, not components.
Services
How I Work With Enterprises
Every engagement starts with a business problem and ends with a measurable outcome. I work at three levels: hands-on architecture and delivery, strategic advisory, and capability building.
CTOs
CDOs
CIOs
Heads of Data & AI
Enterprise Architects
Transformation Leaders
Conference Organizers
Corporate Training Buyers
Enterprise AI Architecture
Deliver
Production-grade AI systems — data platforms, ML infrastructure, semantic layers, governance
Outcome
Unified AI architecture moving from experiments to governed enterprise capability
Best for
CTOs/CDOs whose AI initiatives haven't reached production
System of Truth
Analytical Data Platforms
Deliver
Governed data backbone integrating structured + unstructured data
Outcome
Single source of truth for analytics and AI across every function
Best for
Enterprises making decisions on inconsistent or siloed data
Knowledge Graphs & Semantic AI
Deliver
Ontologies, semantic data models, knowledge graphs enabling reasoning, RAG, automation
Outcome
Semantic knowledge layer — machine-readable, contextual, LLM-ready
Best for
Organizations integrating LLMs/RAG or connecting cross-domain data
AI Factory & MLOps
Deliver
Production environment — GPU infrastructure, pipelines, monitoring, lifecycle governance
Outcome
AI environment where models are deployed, governed, and continuously improved
Best for
Teams whose models are stuck in notebooks or lack scalable AI operations
AI Transformation & Enablement
Deliver
Strategic advisory and organizational design for AI adoption
Outcome
Clarity on what to build, in what order, with a roadmap connecting investment to results
Best for
Leaders whose AI strategy exists on slides but not in operations
Let's talk
Building Enterprise AI Capability
If you're building enterprise AI capability — or trying to understand why your current approach isn't scaling — I'd enjoy the conversation.
Articles
Selected writing and commentary on enterprise AI, architecture, and transformation.
LinkedIn · Mar 2023
LinkedIn · Media
Contact
Get in touch
Tell me about your challenge and I'll suggest the best next step.