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The hardest part of agentic AI may be rebuilding the business

Organizations expect AI agents to change how work gets done, driving productivity and growth while allowing employees to focus on higher-value tasks. Few, however, have the processes and workflows needed to realize those benefits, according to Deloitte’s latest research. About half of surveyed leaders say they understand how AI agents will affect their future operating model. Three main challenges limit wider adoption: the lack of a unified and accessible data foundation, limited trust in and governance of AI agents, and the cost and complexity of integration. AI adoption also remains constrained by issues related to data, decision-making, governance, organizational design, workforce readiness, and costs. Fewer than half of surveyed leaders say their organizations are prepared for agentic AI across most areas of the business.

Full report : The agentic AI readiness gap persists as businesses struggle with workforce skills, process redesign, data, governance, and costs.