Agentic AI for Business Analysis

In this course, business analysis and product ownership expert Angela Wick explores the role of effective business analysis within the coming age of agentic AI, where AI acts autonomously to complete tasks. Discover how AI can revolutionize enterprise systems, customer experiences, and processes, while understanding the risks and requirements for responsible implementation. Dive into robotic process automation (RPA), AI automation, the evolution of agentic AI, and the importance of human oversight and business analysis. Learn how to navigate the challenges of deterministic and probabilistic AI systems through analysis techniques, designing supervisory processes, and establishing continuous improvement feedback loops. When you complete this course, you will have the skills to oversee, optimize, and drive AI-powered business transformations successfully, ensuring that AI solutions align with business objectives and societal values.

Learning objectives
Explain the concept of Agentic AI, its role in business analysis, and how it differs from AI automation and RPA.
Identify business needs for AI, define project scope, and create structured AI solution frameworks.
Apply key business analysis techniques like task decomposition, process mapping, and sequence diagrams to AI-driven solutions.
Learn how to test, monitor, and supervise AI agents to ensure ethical and business-aligned decision-making.
Define performance metrics, refine workflows, and create iterative AI improvement cycles for long-term business impact.