AI is entering organisations faster than leaders are prepared to guide it. Many initiatives stall - not because of technology - but because of fear, unclear decision rights, weak governance, and a lack of leadership clarity.

Leaders often delegate critical AI decisions, respond reactively to vendor pressure, or focus on tools before addressing people, trust, and responsibility. This creates confusion, resistance, and slow or inconsistent adoption.

Organisations struggle to answer the leadership questions that cannot be delegated:

• What decisions must leaders own when AI enters the organisation?
• How do we move teams from fear and resistance to credible adoption?
• How do we govern AI responsibly without killing speed or innovation?
• Which human leadership skills become even more critical in an AI-enabled world?

This programme helps leaders move beyond hype, tools, and theory - and focus on the real leadership work required to build an AI-ready organisation.

Key Competences

• AI Leadership Clarity
• Leading AI-Driven Change
• Responsible AI Governance
• Ethical & Human-Centric Leadership
• AI-Ready Organisational Design

Highlights

• Gain clarity on the leadership decisions you cannot delegate when AI enters your organisation.
• Build practical, business-aligned governance based on EU AI standards — without slowing innovation.
• Strengthen human leadership skills that AI amplifies, exposes, and makes more essential.

1 | Don\'t Let AI Happen to You

From Noise to Leadership Clarity

Before leading others, leaders must first lead themselves.

Key topics include:

• What leaders must decide- and stop delegating- when AI enters the organisation
• A realistic AI “reality check”: value, limits, risks, and the messy middle of adoption
• The three pillars of an AI-ready organisation and where gaps typically appear

Output:

A clear AI leadership stance for your context

Self-assessment across the three pillars

Module 2 | Leading Change

Turning Fear, Resistance, and Confusion into Momentum

AI adoption is a change challenge before it is a learning challenge.

Key topics include:

• Why resistance emerges, and why “training” is rarely the first answer
• The psychology of AI anxiety: job security, competence threat, loss of control
• Building credibility through champions, pilots, and trusted stories
• Creating coalitions that include early adopters and sceptics

Output:

• Change storyline
• Stakeholder map
• Adoption rhythm (communications and leadership rituals)

Module 3 | Governance That Works

Guardrails Without Killing Speed

Effective governance enables progress, it does not paralyse it.

Key topics include:

• Decision rights, roles, oversight models, and escalation paths
• Governing vendor and tool churn without chasing every update
• Connecting governance to business value, not just compliance

Output:

• A practical AI governance operating model with clear accountability

Module 4 | The EU AI Act Mindset

From Legal Framework to Leadership Practice

This module translates regulation into leadership behaviour.

Key topics include:

• What “responsible AI use” means in practice: risk classification, transparency, documentation, and human oversight
• Why EU standards matter globally (and what GDPR teaches us)
• Turning compliance into trust, credibility, and competitive advantage

Output:

• A non-legal, action-oriented leadership checklist for responsible AI oversight

Module 5 | Leadership Skills AI Amplifies (and Exposes)

The Human Capabilities That Matter More, Not Less

AI does not replace leadership - it amplifies strengths and exposes weaknesses.

This module focuses on five interconnected leadership capabilities:

• Ethical Judgment. AI amplifies access to frameworks- but exposes gaps in moral reasoning under pressure
• Critical Thinking. More data and scenarios- yet higher risk of unchallenged outputs
• Creativity. Faster ideation - but risk of over-reliance on generated options
• Problem-Solving. Pattern recognition improves- diagnostic depth may decline
• Authentic Relationships. More time for people- unless trust erodes through over-mediation

Key topics include:

• Decision quality under uncertainty: what to trust, test, and challenge
• Bias awareness: personal, team-based, and algorithmic
• Trust-building in AI-supported work

Output:

• A human-in-the-loop decision discipline with leadership habits and questions for each skill

Module 6 | Your AI-Ready Organisation Plan (90 Days)

Turning Insight into Execution

This final module integrates all three pillars into a practical roadmap.

Key topics include:

• Priorities and sequencing across adoption, governance, and skills
• Capability building: who needs what, and when
• Phased governance rollout with clear ownership
• Measuring what matters: adoption metrics and human impact
• What to start, stop, and sustain immediately

Output:

• A 90-day AI-ready organisation action plan
• Clear metrics for adoption, value, and leadership impact

This programme is designed for senior managers, functional leaders, and executives who are accountable for AI-related decisions, adoption, or oversight.

It is particularly relevant for:

• Leaders responsible for AI, digital, data, or transformation initiatives
• Executives navigating AI-related risk, ethics, and regulation
• Managers leading teams impacted by AI adoption and automation
• Organisations operating in or influenced by EU regulatory standards

No technical or coding background is required.