As organizations adopt intelligent automation, success depends on finding the right balance between AI-driven efficiency and human judgment. This session explores how to design processes where AI handles repetitive and data-intensive tasks while humans focus on complex decisions, creativity, and exception management. The speaker will discuss strategies for creating human-in-the-loop systems, driving adoption, and maintaining governance in automated workflows.
Understand which tasks are best suited for AI and which require human oversight
Learn strategies for managing change and fostering trust in AI-assisted work
Discover how a balanced approach can increase efficiency, reduce errors, and drive business value