The AI Agent Landscape: Use Cases, Risks, and Impact

Dive into the world of AI agents and discover the most high-impact use cases for your team or organization. In this course, Anil Gupta and Haiyan Wang discuss how to choose the right use cases and deploy AI agents effectively to plan and execute multistep—and often complex—tasks, enhance productivity, and drive strategic impact across an organization. Explore real-world applications in customer service, coding, ecommerce, HR, finance, logistics, and more. By the end of this course, you’ll be equipped with a richer understanding of what AI agents can do, their benefits, and how to start preparing for an agentic AI future.

Learning objectives
Describe the key capabilities of AI agents and explain how they perceive, reason, and act within business workflows.
Identify viable business processes for AI agent deployment and assess their suitability using a provided framework.
Identify customer-facing use cases for AI agents in industries as varied as retail, banking, and stock trading.
Explore how AI agents can enhance the speed, responsiveness, and efficiency of functions such as sales, manufacturing, logistics, and HR.
Describe the risks associated with AI agents and the necessary safeguards to mitigate them.