Your AI maturity profile:

Stage 1 – Impaired

Your organisation is at an early stage of AI maturity.
Data is fragmented, processes are siloed, and AI is not yet part of everyday decision making.

What this means
The main challenge at this stage lies in building solid foundations. Without shared understanding, reliable data, and structured processes, AI initiatives remain difficult to activate.

Ways forward
Developing AI literacy at management level, strengthening strategic understanding of data and AI, and aligning teams around common frameworks are critical first steps. Structured learning journeys can help create this shared baseline and prepare the organisation for more advanced initiatives.

Looking to take the next step?
Explore the AI Strategy Programme for Business Leaders, designed for organisations seeking to strengthen leadership alignment and accelerate AI-driven transformation.

AI Strategy Programme

for Business Leaders

Clarity, control, and confidence: AI as a strategic advantage

AI has evolved from a technical trend into a core leadership responsibility. Senior leaders are expected to make decisions about AI investments, organisation, governance, and change—often without having had the opportunity to build a clear, structured understanding of how AI really works and how it creates value.

This programme is designed especially for each client company to equip their leaders with the tools to cut through the hype, understand AI well enough to make informed strategic decisions, and lead AI-driven transformation with credibility and confidence.

2 days • On campus or in-company • 10-15 participants • in English

40 %

Conceptual Framing

to build a clear and realistic

understanding of AI

30 %

Case Discussions

to analyse successes, failures,

and trade-offs

30 %

Applied Workshops

to translate insights into

corporate actions

AI maturity assessment

The programme starts with an AI maturity assessment to establish a shared view of your organisation’s current position across data, processes, people, leadership, and AI strategy. It helps identify strengths, gaps, and priority areas, creating a solid basis for informed discussions.

Programme personalisation

Building on the assessment, we engage with key stakeholders to clarify business challenges and objectives. The two-day programme is then tailored to your organisation’s context, ensuring relevance, alignment, and immediate applicability.

Morning

Building strategic AI literacy

What has really changed with AI — and why it matters for leaders
Why AI is different from previous digital waves
From automation to augmentation and autonomy
How AI works (without the math): machine learning, generative AI, and foundation models
What AI can, cannot, and should not do today
Why AI systems fail (bias, hallucinations, brittleness)
Hands-on use of generative AI for strategic analysis

Afternoon

From AI potential to business value

How AI creates competitive advantage
Efficiency, differentiation, and platform strategies
Why “AI everywhere” is a losing strategy
Identifying and structuring AI use cases across the organisation
Using the AI use-case prioritisation matrix
Distinguishing quick wins, strategic bets, and initiatives to postpone

Morning

Organising for AI at scale

AI operating models and organisational choices
The evolving roles of IT, data, and business teams
Product teams vs. project teams
AI maturity and scaling readiness
Skills and talent in the AI era
Upskilling vs. hiring vs. partnering
How leadership roles evolve with AI

Afternoon

Governance, change, and executive action

AI governance, risk management, and responsible AI
Bias, accountability, explainability, and reputational risk
Regulatory trends and leadership responsibilities
Why AI initiatives stall after pilots
Managing change, trust, and adoption
Designing a 90-day AI action plan
Building an executive AI playbook: what to ask, what to decide, what to delegate

Meet the teacher

Nicolas van Zeebroeck

Nicolas van Zeebroeck is a leading expert in digital transformation, AI strategy and digital business. He is Professor of Digital Economics & Strategy at the Solvay Brussels School of Economics and Management, where he teaches and researches how digital technologies shape business performance, organisation and strategic renewal.

Nicolas holds a PhD in Economics and Management and began his career as a consultant before moving into academia and advisory roles. He has delivered 30+ keynotes and workshops on digital strategy and AI, and regularly advises organisations and policy institutions on technology and transformation.

He also serves as Senior Fellow at The Conference Board, is a member of Belgium’s High Council for Employment, and is a founding member of FARI — the AI Institute for the Common Good. His research has been published in top international journals, including Harvard Business Review and Management Science.

Accredited European School

A Tradition of Excellence
and Innovation

Founded in 1903 by Ernest Solvay, a renowned Belgian chemical industrialist, the Solvay Brussels School is the faculty of Economics and Management of the Université libre de Bruxelles. Ever since, our accredited (AMBA, EQUIS, and Qfor) European school has built a tradition of excellence and innovation in business and economics learning, fuelled by deep connections within Brussels' multinational entrepreneurial network.

All this is perfectly set against Brussels' vibrant cosmopolitan environment, home to some 300.000 expats, the EU and NATO headquarters, and thousands of international corporations.

Your AI maturity profile:

AI Strategy Programme

for Business Leaders

Who is the programme aimed at?

Profile

Key admissions criteria

Methodology

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