ETHSUN AI Application Programme, Executive Leadership
Leading Organizations in the Age of Artificial Intelligence
A high-impact 2-day executive sprint designed for business leaders and board members who wish to embed artificial intelligence at the heart of their strategy, governance and high-level decision-making.
Programme Overview
This two-day AI Executive Sprint is designed for business leaders and board members who wish to embed artificial intelligence at the heart of their strategy, governance and high-level decision-making. Participants will learn how to define an AI strategic vision, govern technology investments, identify value-creation opportunities and transform business models. Through hands-on demonstrations, international case studies and immediately operational tools, this programme equips executives with a strategic command of AI, enabling them to turn it into a genuine lever of competitiveness, growth and innovation for their organisations.
Format & Cohorts
Upcoming sessions
Open enrolment, register at any time
Each participant leaves with a concrete, organisation-specific AI Executive Transformation Blueprint, a practical AI action plan ready for immediate implementation.
Curriculum
01AI for Strategic Governance
- Designing an AI-augmented corporate strategy
- Governing AI investments and AI programmes
- Board-level oversight and supervision of artificial intelligence
- Responsible governance and sustainable value creation
02AI for Executive Decision-Making
- AI-assisted strategic decision support systems
- AI-augmented executive dashboards and performance views
- Predictive analytics and strategic foresight
- Data-driven organisational performance management
03AI for Organisational Transformation
- Leading AI-driven digital transformation
- Reinventing business and operating models
- Building an AI-oriented organisational culture
- Change leadership and stakeholder mobilisation
04AI, Governance, Ethics & Risk Management
- Responsible governance of artificial intelligence
- EU AI Act, GDPR and international regulatory frameworks
- Identifying and managing AI-related risks
- Ethical and accountable AI deployment at executive level
Learning Outcomes
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