A new model for enterprise software is taking shape—one where humans and AI agents work together as coordinated teams. In a recent report, McKinsey describes this emerging structure as the “agentic organization,” a system that redefines how companies design workflows and build software.
Instead of isolated automation tools or assistants, organizations are beginning to deploy networks of intelligent agents that handle everything from compliance checks to customer interactions, all supervised by small human teams. Early adopters in sectors like banking, telecom, and manufacturing are already seeing agentic workflows cut process times by half and boost decision-making speed.
Building these systems requires rethinking both software design and operations. Traditional IT hierarchies and monolithic systems are giving way to flatter, AI-native networks where teams orchestrate agents rather than manually execute tasks. Governance and oversight are becoming real-time and data-driven, while roles are evolving toward AI supervisors and specialists who manage hybrid human–machine teams. The result is a new software era defined less by code and more by coordination—where the winners will be those who can turn complex, distributed agent networks into coherent, value-producing systems.