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Technology Leadership: Board Excellence Programme

Technology Leadership: Board Excellence Programme

In today’s business world, technology is a strategic asset, not merely an operational tool. After the last phase of digital transformation, boards today face a new question: what artificial intelligence means for the company and its business model, and what responsibility that creates for cybersecurity, data protection, technology governance and regulatory frameworks. Finance, legal and compliance are well covered in most boards. Technology competence is not. The strategic advantage and the legal requirement of this competence at board level are still underestimated.

I guide boards and executive teams on this path. I build the bridge between the strategic and the operational level, and combine technical depth with leadership responsibility, drawn from my own experience across different operational and strategic roles. The goal is to strengthen the technology competence of the board and the executive team.

My work in four stages

At its core, this is about strengthening the technology competence of boards and executive teams in artificial intelligence, cybersecurity, data protection and governance, so the board can actually meet its task and responsibility. This competence is also becoming a key strategic success factor in a world that keeps changing faster. I divide technology competence into four stages.

Stage 1: Understanding and placing AI

What artificial intelligence changes for operations, your own business model and your customers' — including the risks that rarely make it onto the table.
It starts with understanding artificial intelligence. Large language models are already in use at most boards and executive teams today. Even so, building AI into strategy and assessing its risks requires a basic understanding of the technology. I address four questions, among others: how can AI be used within the board itself, for example in preparation and decision support? How does it change operations? How does it change the company's own business model and the business models of its customers? And how will we be using AI tomorrow? This includes the side that often gets left out: risks such as strategic homogenisation through generative models, the quiet loss of in-house expertise, and silent dependency on individual providers. A concrete example is set out in my article Strategy Trendslop.

Stage 2: AI Governance in the Boardroom

Clear roles, a risk-based approach and an AI risk register — responsibility for AI cannot be delegated.
Once relevance is established, governance becomes the real task. Responsibility for AI cannot be delegated, it stays with the board. I build the structure for it: clear roles and responsibilities, a risk-based approach, an AI risk register, and human-in-command as a principle, not an exception. It rests on five guiding principles: accountability, transparency, fairness, security and continuous improvement.

Stage 3: Cybersecurity and Data Protection

Placing cyber risk where it originates: in the data foundation every AI system stands on.
Once the AI question is settled, the same need usually appears in cybersecurity and data protection. The two are more closely linked technically than many boards assume. Data quality, data integrity and data protection are the foundation every AI system stands on, not a separate topic next to it. I close that gap to the same standard, linked directly to the structure from Stage 2, and place cyber risk where it actually originates, in the data foundation, not only once the system is in production.

Stage 4: Regulatory Frameworks

FINMA circulars, DORA, NIS2, EU AI Act, GDPR and FADP as part of ongoing leadership, not a project at the end.
FINMA circulars, DORA, NIS2, EU AI Act, GDPR and FADP form the frame everything above sits within. These frameworks differ in scope and maturity but follow the same logic: responsibility stays with people, traceability is mandatory. I bring that frame into ongoing leadership, as part of the same structure already built in Stages 2 and 3, not as a separate project at the end.

Programme

The programme can be tailored to your specific needs and to your organisation. A module typically runs half a day. The aim is to strengthen the technology competence of the board and the executive team.

Who it is for

Boards, executive teams and leadership teams of any size: from multinational companies to SMEs, as well as foundations and associations that want to strengthen their technology competence.

To talk through how AI, cybersecurity, data protection and governance will shape your business today and in the years ahead:

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