Module 2 of 3

What to Expect in Practice

The gap between the demo and the deployment, and what it tells you about where copilots create value

Copilot demos are consistently impressive. Copilot deployments are consistently more complicated. This module examines the evidence on where copilots create value, the new failure patterns they introduce, and how to set expectations that don't damage confidence in AI adoption more broadly.

An Intro to AI Copilots
  • ~50 mins
  • 3 lessons
  • foundation
Get this course

What you'll learn

  • Identify the task categories and role types where copilot adoption shows the strongest evidence for productivity gain
  • Explain the demo-to-reality gap: the technical and organisational factors that mean live deployments rarely match demo performance immediately
  • Describe the new error patterns copilots introduce, particularly around confident retrieval errors and over-delegation
  • Apply a realistic expectations framework for communicating copilot value to senior stakeholders

Lessons in the Module

1 Where Copilots Deliver 20–25 mins
2 The Demo-to-Reality Gap 20–25 mins
3 Which Roles Benefit Most 20–25 mins
Back to course overview