Agentic AI is changing how work gets done. As organizations hand more complex tasks to AI agents, the quality of the instructions, constraints, context, rules, and success criteria behind that work matters more than ever. Business analysis professionals should see this as the opportunity of a lifetime.

The skills needed to guide effective agentic work are skills business analysis professionals already know. We clarify intent. We challenge assumptions. We define requirements, constraints, exceptions, outcomes, and success measures.

What has changed is the operating environment. Agentic AI cannot navigate ambiguity well. It cannot “read between the lines,” although it tries. Humans have filled those gaps through conversation, iteration, shared context, and short feedback loops learned through years of Agile development frameworks. Spec-driven development, though requires specificity.

This session explores why agentic AI increases, rather than decreases, the value of strong business analysis. You will connect familiar BA practices to agentic delivery and identify where stronger analysis can improve results.

Your time is now. You were made for this. You trained for this. You are READY for this