AI-Driven IT Change Management in Geneva

AI is reshaping how organisations plan, execute, and sustain IT change. Teams that once relied on manual impact assessments and gut-feel prioritisation are now working alongside predictive models, automated workflows, and intelligent monitoring tools. This course gives delegates a practical grounding in both areas: how AI works well enough to use it confidently, and how to lead change programmes that put it to work responsibly. By the end of the week, delegates will leave with a working framework they can apply to their own organisations, regardless of sector or scale.

• Understand the key concepts of AI and machine learning as they apply to IT change management.
• Identify where AI adds genuine value across the change lifecycle, from planning through to post-implementation review.
• Apply structured change management approaches alongside AI-assisted tooling to real-world IT projects.
• Evaluate AI tools for risk assessment, impact analysis, and change advisory board support.
• Develop a governance approach that keeps AI use accountable, auditable, and aligned with organisational policy.
• Analyse resistance patterns and build stakeholder engagement strategies suited to AI-enabled change
• Build a practical roadmap for introducing AI into an existing IT change management function.
• Assess the ethical and data privacy considerations that arise when AI informs change decisions