상상력집단
AI leadership for managers

The manager's job is changing — from supervising tasks to directing a team of people and AI

A course for middle managers on leading in an AI-enabled team. Participants redesign how they delegate, review, and coach, and build the change-management skills to drive AI adoption in their own team.

8 hours (1 day) totalTeam leads, group leads, middle managers, and anyone driving AI transformation internally

What is AI leadership for managers?

This course helps team leads and group leads redesign how they delegate, review, and coach for an AI-enabled workplace, and take the lead on adoption inside their own team. Analysis for 2026 shows the manager's role shifting from supervising tasks to acting as a team enabler who raises the productivity and creativity of a mixed human and AI team, with middle managers identified as the decisive factor in whether AI transformation succeeds. This is not a tools course — it approaches AI from the angle of leading people.

A redefined role

Establishes what a manager is for when the team includes AI: a coordinator, not a supervisor.

Coaching-led

Covers how to assess each team member's AI skill and coach the reskilling that follows.

Change management

Produces a working plan for handling resistance and driving adoption at team level.

Curriculum

8 hours (1 day) — what's covered

Theory and discussion 60%Workshop 40%
1

Redefining the role

2 hours

From task supervisor to team enabler: how AI changes what a manager does and what they are measured on

2

Delegating and reviewing with AI

2 hours

Splitting work between people and AI, setting quality review criteria, and spotting what can be automated

3

Coaching your team on AI

2 hours

Assessing each person's level, coaching reskilling, and handling resistance and motivation

4

Change management workshop

2 hours

Draft and present an AI adoption roadmap and change-management plan for your own team

Tools used in this course
ChatGPT
Claude
Notion

Key concepts in the curriculum

A quick look at what this course covers.

Leading as an orchestrator

Leading as an orchestrator

A manager coordinating a team of people and AI

Where to delegate

Where to delegate

Splitting work between AI and people

Coaching for growth

Coaching for growth

Building your team's AI skills through coaching and reskilling

Learning objectives

  • Understand how the middle manager's role is being redefined
  • Learn a framework for delegating, reviewing, and deciding with AI in the loop
  • Build the leadership skill to coach team members on AI use
  • Write a change-management plan for AI adoption in your team

What you take away

  • A draft AI adoption roadmap for your team
  • Criteria for splitting and reviewing work between people and AI
  • A team AI skills assessment and coaching guide
  • An AI transformation change-management checklist

Expected outcomes

  • A clear sense of direction about the manager's role in an AI-enabled team
  • Faster adoption, and more of it sticking, at team level
  • Higher productivity from mixed human and AI work
  • Less resistance to change, with team trust intact

How teams put this to use

Redesigning delegation

Set clear criteria for what goes to AI and what stays with people, then allocate accordingly

Reviewing AI output

Run the review points that let you judge AI-generated work quickly

Coaching your people

Assess each team member's AI skill and coach reskilling that fits them

Handling resistance

Address the anxiety and pushback AI creates in a team, and lead the change anyway

AI leadership for managers — FAQ

No. This is a leadership course, not a tools course. Understanding what AI can and cannot do from a management point of view is enough; the focus is the decisions you make about delegation, review, and coaching.

Practitioner training builds skill with the tools. This course is about how you lead the team — allocating work, reviewing output, coaching people, managing change. It sits on the decisions a manager has to make.

Yes. In the workshop you write an adoption roadmap and change-management plan around your actual team structure and work. Share details about the team in advance and we tailor it further.

That gets real weight in the change-management session. You will practice diagnosing the source of the resistance and coaching through it — reducing the anxiety and giving people a reason to engage.

AI leadership for managers — get started

Tell us your goals and headcount, and we'll design the program around them.

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