Leading the AI-Enabled Organisation
Overview
AI changes how work is organised, how teams collaborate and what skills people need. This programme helps leaders guide their organisations through that shift: setting a clear direction, redesigning roles, building trust in new tools and keeping people engaged. Participants leave with a practical leadership agenda for an AI-enabled workplace.
Who should attend
Executives, directors, department heads and managers responsible for teams affected by digital and AI change.
Training methodology
Facilitated discussion, practical frameworks, case studies from different sectors, group exercises, short demonstrations of AI tools, and an action plan for each participant's organisation.
Objectives
By the end of this course, participants will be able to:
- Explain the impact of AI on work, roles and organisational structure
- Set a clear leadership vision for AI adoption
- Lead teams through uncertainty and resistance to AI
- Plan reskilling and new ways of working
- Build a culture of responsible experimentation
Course outline
Day 1The AI-Enabled Organisation
- What changes and what stays the same
- AI maturity stages
- Impact on structures and decision rights
- Self-assessment of your organisation
- Human and AI strengths compared
- Lessons from early adopters
Day 2Leadership Vision and Direction
- Articulating why AI matters for your organisation
- Choosing priorities and pace
- Communicating the vision
- Aligning senior teams
- Leadership roles in an AI programme
- Setting guardrails and expectations
Day 3People, Roles and Skills
- Redesigning jobs around human and AI strengths
- Reskilling and upskilling plans
- Managing fear and resistance
- Workshop: role redesign exercise
- New roles: AI champions and reviewers
- Career paths in an AI-enabled workplace
Day 4Culture, Trust and Ethics
- Psychological safety and experimentation
- Trust in AI outputs
- Ethical leadership choices
- Case study: an AI rollout that lost trust
- Recognising and rewarding new behaviours
- Leading by example with AI tools
Day 5Leading the Transformation
- Pilots, scaling and measuring progress
- Partnering with IT and data teams
- Sustaining momentum
- Personal leadership agenda
- Managing risks during transformation
- Peer coaching session