Many AI initiatives never progress beyond ideas, pilots, or promising demos—draining organizational energy instead of creating impact. This hands‑on workshop shows how to switch AI on by transforming real business pain points, inefficiencies, and decision challenges into executable AI use cases. Rather than starting with technology, participants learn how to clearly define business value, identify the users and decisions an AI solution should support, and assess data readiness early to avoid common pitfalls. Using a practical AI Use Case Canvas and guided group exercises, attendees will work on real or provided scenarios to design a concrete AI use case and outline a realistic PoC roadmap, covering scope, roles, success metrics, and risks. The workshop also introduces a portfolio perspective, helping participants understand how individual use cases fit into a broader AI pipeline and support prioritization and governance. Participants leave with reusable templates, clearer thinking, and tools they can immediately apply within their organizations.
- Artificial Intelligence
- Business Analytics
