In-House Training: Reckitt Benckiser Group

“The AI leadership programme was fantastic – truly eye-opening. The training opened our eyes to the sheer power of AI and gave us the confidence to explore its applications across our teams.

The discussions around AI strategy and governance prompted a lot of thought and questions, which made it highly engaging and thought-provoking. I particularly appreciated the practical examples and the focus on real-world applications – from reviewing SOPs to building presentations – it helped me see the possibilities in ways I hadn’t considered before.

The programme has inspired me to think differently about how we use AI and how we guide our teams, and I would highly recommend it to any senior leadership group looking to explore AI in a structured, insightful way.”

The leadership team wanted to deepen their understanding of AI and its strategic implications for the business. They aimed to explore:

• How AI could be integrated into decision-making and day-to-day operations.
• Ethical and moral considerations around AI use, particularly in product delivery and maintenance.
• Practical applications of AI beyond generative tasks, including workflow and decision-making improvements.
• Team-building and shared learning to strengthen leadership collaboration and knowledge.

The team chose a bespoke AI leadership programme delivered by INPD. The programme combined interactive sessions, discussions, and breakout activities to provide practical AI insights and strategic guidance tailored to the leadership team’s context.

• Interactive & Discussion-Led: Open discussions and group coaching encouraged reflection and knowledge sharing.
• Practical Applications: Examples of AI in real-world workflows, SOP reviews, presentations, and strategic decision-making.
• Strategy & Governance Focus: Explored AI strategy, governance, and ethical considerations.
• Leadership Integration: Sessions served as a team-building and shared learning exercise, promoting collaborative thinking across the executive group.

• Delivered content that was highly relevant to executive roles, combining AI knowledge with leadership strategy.
• Facilitated open dialogue that prompted critical thinking and new perspectives.
• Provided actionable insights and practical exercises that helped the team understand AI’s potential and its governance implications.
• Tailored the approach to the team’s context, making the learning directly applicable

1. Strategic Understanding of AI: Gained clarity on AI’s potential for strategic decision-making and workflow improvement.
2. Ethical & Governance Awareness: Developed awareness of ethical, moral, and governance considerations when implementing AI.
3. Team Collaboration & Learning: Strengthened leadership team cohesion through shared reflection and practical exercises, preparing the team for broader adoption of AI across the organisation.