COURSE · PHASE 2
Leading in an AI-Augmented Organization
This scenario-led leadership workshop is built for Banking organisations and focuses on the organisational conditions for responsible, effective, and sustainable AI adoption. Participants work with a fictional bank case to explore leadership practices, psychological safety, accountability, workflows, and learning investment. Practical activities address verification responsibilities, responses to concerns, and culture improvement. The course focuses on leadership rather than technical AI implementation or tool selection.
FROM THE CURRENT BROCHURE
Know what the experience covers before you download.
These highlights are drawn from the current approved course brochure and are designed to support an informed first conversation.
COURSE HIGHLIGHTS
The capabilities and outcomes in focus.
- 01
Explore how AI increases the importance of modelling critical AI use, creating safety for concerns, and making accountability explicit in everyday leadership.
- 02
Recognise the conditions that support honest human-AI collaboration when people might otherwise feel pressure to accept outputs, hide uncertainty, or avoid raising concerns.
- 03
Develop minimum-viable accountability for verification and outcomes so significant AI-assisted decisions have clear responsibility before issues arise.
- 04
Assess how leadership modelling, rewarded behaviour, heard concerns, workflows, and training shape a culture of responsible, sustainable AI use.
WHAT YOU'LL EXPLORE
A clear route through the key topics.
- 011.1 Leadership Practices in an AI-Augmented Organization
- 022.1 Psychological Safety Around AI
- 033.1 Accountability for AI-Assisted Decisions
- 044.1 Culture of Responsible AI Adoption
- 05INTEGRATION, OUTCOME CHECK, AND CLOSE