Module 2 of 3

Where Agents Make Sense

The business case, the use cases, and the equally important question of when you don't need one

Agents introduce real complexity: latency, cost, non-determinism, governance overhead. This module examines when that complexity is justified by business value, and when a simpler tool would produce better results. The honest business case for agents, with the sceptic's framework built in.

AI Agent Adoption
  • ~50 mins
  • 3 lessons
  • professional
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What you'll learn

  • Identify the business problem characteristics that make agents the right tool: multi-step reasoning, dynamic decision-making, integration across systems
  • Apply a cost-benefit framework that accounts for the real overhead of agent deployment: latency, token cost, reliability engineering, governance
  • Distinguish between use cases that justify agent complexity and those where a simpler pipeline would perform better
  • Evaluate the build-buy-platform decision for agent capability in a given business context

Lessons in the Module

1 The Genuine Use Cases 20–25 mins
2 When an Agent Is the Wrong Tool 20–25 mins
3 Build, Buy, or Platform 20–25 mins
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