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. Preparing the operating model for AI agents 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…