Episode 29 — Define Business Context and Use Cases Before Building Any AI System
This episode explains why good AI governance begins before model selection, procurement, or experimentation by forcing clarity about the business context and intended use case. You will learn how a well-defined use case identifies the problem to be solved, the users involved, the decision being supported or automated, the data needed, the stakeholders affected, and the consequences of error or misuse. For the AIGP exam, this matters because many governance failures begin when organizations rush into technical development without first defining purpose, success criteria, risk level, and operational boundaries. The episode also covers practical examples, such as the difference between an internal drafting tool, a fraud alerting system, and a hiring recommendation engine, each of which demands a different level of review and control even if similar AI techniques are used. In real practice, vague use cases lead to scope creep, weak testing, poor oversight, and confusion about accountability. A clear business context acts as the foundation for impact assessments, control design, documentation, and deployment decisions throughout the lifecycle. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with. And dont forget Cyberauthor.me for the companion study guide and flash cards!
