Understanding AI — Traditional, Generative, and Agentic
Duration: 30-45 minutes
Purpose: Board members need to distinguish between AI types to evaluate proposals accurately and avoid funding the wrong solutions for the right problems.
Overview:
Defines traditional AI (rules-based systems), generative AI (content creation), and agentic AI (autonomous decision-making) with practical examples
Maps each AI type to specific business problems where it excels vs. where it fails
Uses examples showing where companies gained competitive advantage—and where they wasted capital
Provides a diagnostic framework for evaluating vendor proposals and management recommendations
Key Takeaways:
A clear vocabulary that cuts through buzzwords.
An understanding of where each type of AI fits in business models.
The confidence to interrogate proposals and spot hype.