How businesses should redesign work in the Agentic era

Agentic AI is portrayed as a shift from supplying employees with better software to redesigning organizations around AI workers that can perform complex, continuous tasks, requiring companies to decide what humans retain, what agents handle, and how accountability works. The proposed approach emphasizes studying actual work practices, including tacit knowledge and meaningful human judgment, while creating ongoing roles for agentic research, technology evaluation, and employee enablement. Each agent should have a business owner, measurable purpose, and governance oversight, supported by AI literacy and tools that let employees build and manage agents. Organizations are encouraged to integrate data, models, agents, and human review into connected operational systems, particularly for unattended critical processes, while embedding expert knowledge into workflows. Resilience is presented as essential because AI systems depend on volatile technical, geopolitical, legal, and infrastructure environments, making portability, orchestration, and risk assessment important. Finally, the text argues for a new operating model in which executives share responsibility for organizational redesign, business functions own agent outcomes and ROI, IT enables secure adoption, and governance evolves to address rapid agent decisions, red-team risks, logging requirements, human review thresholds, and irreversible actions.

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