This session was presented at Oracle Cloud Summit Virtual 2025.

Focus: A practical decision framework for matching the right automation or intelligence technology to a business use case. Why it fits: Helps organizations avoid over-engineering and choose the most cost-effective approach. With so many emerging technologies in automation and intelligence, choosing the right solution for a business problem can be challenging. This session offers a practical decision framework to help organizations evaluate when to use RPA, traditional AI, Generative AI, or Agentic AI — based on complexity, cost, and expected business value. We’ll explore how to start from a clearly defined problem statement, align initiatives with ROI and measurable outcomes, and then progress toward solution design, system architecture, and security considerations. The discussion will also highlight how to engage vendors or internal teams effectively to accelerate implementation while maintaining governance and value alignment. Learning Objectives: By the end of this session, attendees will learn how to: 1. Identify and document the right business problem statement for AI-driven initiatives. 2. Differentiate between RPA, AI, GenAI, and Agentic AI based on complexity and business impact. 3. Develop a value-driven framework for technology selection tied to ROI and operational efficiency.