AI Strategy Consultant
The bridge between what AI can do, and what your teams actually do with it.
I work with Belgian executives and their teams on the concrete adoption of artificial intelligence. AI is ready to transform your business. Do your teams have the appetite and the capability to use it?
The reality
AI in business isn't keeping its promises. The problem isn't technical.
AI is everywhere in the conversation. The demos are spectacular. Teams buy licences, run pilots for a few weeks, then drift back to old habits. The tab stays open. Adoption never settles.
Why? Because AI gets treated as a tool problem when it's a people problem. People don't resist technology. They protect their value. The know-how, the expertise, the role that has defined them for years.
Until that reality is named, it can't be solved.
The diagnosis
The adoption gap.
AI's capabilities are evolving faster than what teams can actually do with them day to day. The bottleneck isn't the technology. It's the capacity to use it. And in this gap, between what gets deployed and what actually gets used, lives every euro invested without return.
Three ways to respond, depending on where your organisation stands:
Strategy 01
Train
Increase teams' real ability to use AI. Targeted training programmes, internal ambassadors, continuous learning. Close the gap from the bottom.
Strategy 02
Calibrate
Identify the right tools for your current maturity, and deploy them at the right pace. Don't install agents if your teams haven't yet learned to prompt.
Strategy 03
Accelerate
Push both curves forward together. For high-ambition organisations ready to invest in tools and people simultaneously.
The approach
Adopt · Adapt · Automate
Phase 01
Adopt
Understand the ground. Identify the tasks where AI delivers an immediate gain. Install the tools, train teams on their own use cases, not on fictional examples.
Phase 02
Adapt
Configure AI for your trades. Build specialised assistants, libraries of validated prompts, workflows that fit into existing routines.
Phase 03
Automate
Once habits are anchored, automate. Agents, integrations, autonomous flows. Not before. Building a motorway without knowing where people want to go is the classic trap.
Frequently asked questions
The questions that come up most often.
A few answers to the questions Belgian executives ask when they discover this work. For everything else, email is faster.
What is a Fractional Chief AI Officer?
A Fractional Chief AI Officer is a senior AI leader engaged part-time, typically 2 to 6 days per month, to carry a company's AI strategy on an ongoing basis. The role suits SME and mid-market firms that have a real need for AI direction but not yet the volume to justify a full-time hire. It covers four dimensions: strategy, governance, organisational capability, and communication with the board.
Why do 80% of AI projects fail?
According to an MIT study from 2025, more than 80% of AI projects fail to meet their goals. The root cause is rarely technical: the 2026 BCG report shows that 70% of the real effort in an AI transformation lies in people and processes, not technology. Teams don't resist AI, they protect their value and expertise. Until that human factor is addressed, adoption doesn't take hold, no matter the tool.
What is the difference between an AI Adoption engagement and a Fractional CAIO role?
An AI Adoption engagement is a 4 to 12 week project to install concrete AI usage in operational teams. A Fractional CAIO role is an ongoing engagement of 6 to 12 months minimum, renewable, to lead AI strategy at C-Suite level. Many companies start with an Adoption engagement, then transition to a CAIO role once AI becomes a permanent function.
How long does it take to install AI in a Belgian SME?
An AI Adoption mission typically runs 4 to 12 weeks, structured in three phases: Adopt (install the tools and train teams on their real use cases), Adapt (custom configuration for trades, specialised assistants, workflows), Automate (automation once habits are anchored). Success is measured by observed adoption, not declared, through spontaneous and recurring usage in teams.
Why hire an external AI consultant rather than recruiting internally?
For a Belgian SME or mid-market firm of 50 to 300 people, hiring a full-time Chief AI Officer assumes a workload that doesn't yet exist. An external consultant brings three things a permanent hire doesn't: a role free of internal politics (no career ambition, no faction), accumulated experience across multiple companies, and a defined endpoint that forces transfer of capabilities to your teams. The objective of a good consultant is to make themselves redundant.
How does the European AI Act affect a Belgian SME?
The AI Act, progressively in force since 2024, imposes obligations on European companies based on the risk level of deployed AI systems. For most Belgian SMEs using generative tools (ChatGPT, Copilot, Claude) for internal purposes, obligations remain light. Complexity rises with automated decision systems, scoring, or HR usage. More than compliance, the real challenge is establishing clear governance (who decides, who supervises, how we measure) before usage scales without a frame.
Background
Gratiago, CTO
Co-founder of a healthtech platform: a health companion that supports patients throughout their treatment.
Bain & Company
Strategy consultant. Analytical rigour, results orientation, relentlessness on the deliverable.
Brussels Blockchain Week
Co-founder. Belgium's flagship conference on blockchain.
University of Oxford
MPhil. Trained in research and structured thinking under uncertainty.
Contributions
Columnist and contributor on AI, technology strategy, and business adoption.
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