Agentic Change - From generative AI support to accountable agent-directed execution. #996175

Starting now, the workforce includes both humans and AI agents. Success requires delegation and oversight.
Generative AI changed how people produce work. Agentic AI changes how work moves. Intelligent systems can now initiate actions, communicate decisions, assign tasks, update records, coordinate workflows, and trigger consequences without continuous human involvement.
That shift creates a new question: when AI systems act, who remains responsible?
Agentic Change examines the psychological and organizational transition from AI assistance to AI-enabled execution. It shows why human accountability must move upstream—into what is authorized, what may be delegated, what requires review, when a workflow must pause, and who owns the outcome.
Drawing on psychology, enterprise AI adoption, and responsible-AI practice, Robbee Minicola introduces the Agentic Accountability Model: eight operating disciplines for preserving human judgment and responsibility when intelligent systems can act on behalf of people and organizations.
The goal is not to keep all action human. It is to ensure that human intention, oversight, and accountability remain visible before AI-enabled work moves forward. The book’s framework centers on authorization, representation, delegation boundaries, explicit intent, speed, pause design, cross-functional alignment, and ownership.