AI & Work

Lean Thinking for AI-Enabled Work

Use Lean principles to find where AI can genuinely improve work.

Course overview

AI can accelerate useful work, but it can also accelerate waste. This course applies Lean thinking to digital and knowledge work so participants can identify value, expose friction, and decide where AI can support better outcomes with appropriate human oversight.

AI can make work faster without making it better. Lean thinking provides a disciplined way to define value, expose friction and waste, and decide whether AI supports a better outcome or simply automates existing inefficiency. The focus remains on AI-enabled professional work, with Lean used as a practical lens rather than an end in itself.

What participants will learn

  • Understand core Lean principles in modern professional work.
  • Define value from the customer or stakeholder perspective.
  • Recognize the eight forms of waste in digital and knowledge work.
  • Identify waste associated with email, chat, reporting, data handling, and AI-enabled workflows.
  • Distinguish useful AI application from automating existing inefficiency.
  • Prepare work by eliminating, simplifying, synchronizing, and standardizing where appropriate.
  • Use AI to reduce waste while retaining appropriate human oversight.
  • Identify a practical improvement opportunity in your own work.

What the course covers

The course combines clear concepts with structured reflection and application to professional work.

  • Lean principles and value in knowledge work
  • The eight forms of waste in digital work
  • Preparing work before applying AI
  • Human oversight in AI-enabled workflows
  • Lean AI Action Plan

Who it’s for and how to take part

Designed for

  • Professionals who want to identify where AI can improve work without accelerating waste.

Prerequisites

  • No formal Lean or AI qualification is required.

Public courses

Join a scheduled course

Book an individual place on a live virtual course when public enrolment opens.

Teams and organisations

Arrange private delivery

Discuss delivery using relevant examples and context while retaining the course’s core learning objectives.

Public courses

Upcoming dates

There are currently no scheduled public dates for this course. New dates will be added here when confirmed.

Private delivery

Bring this course to your team

Discuss the context, audience, and practical outcomes you want the course to support.