COURSE · PHASE 2
AI-Enabled Change
AI-Enabled Change is a practical, scenario-led workshop for Banking organisations focused on the human and organisational dimensions of AI adoption. Participants work with a fictional bank case to explore changing responsibilities, confidence in expertise, fairness, and safeguards. The course develops approaches to continuous engagement, learning, human oversight, and resilience. It does not cover technical AI implementation, AI tool selection, or using AI in change-management practice.
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 why AI adoption can alter both tasks and the meaning people attach to their expertise, while continuing to change after go-live.
- 02
Recognise how AI adoption can affect professional identity, role meaning, fairness, transparency, job security, and psychological safety across stakeholder groups.
- 03
Develop an engagement approach that revisits communication, policies, boundaries, learning, decision responsibilities, and guardrails as the technology evolves.
- 04
Build resilience for uncertainty through monitoring, feedback loops, contingency, human oversight, and the ability to adapt when consequences emerge.
WHAT YOU'LL EXPLORE
A clear route through the key topics.
- 011.1 What Makes AI-Driven Change Different
- 022.1 The Human Experience of AI Adoption
- 033.1 Engaging Through AI Transitions
- 044.1 Managing Uncertainty and Risk in AI-Enabled Change