AI agents are reshaping workflows by autonomously executing processes while humans govern goals and policies, according to Deloitte Microsoft Technology Practice. Technology budgets for AI are set to rise over 70% in two years, accelerating adoption of agent-first models. Scott Rodgers, Deloitte's U.S. CTO, stresses shifting from static automation to dynamic, agent-centric workflows with explicit policy constraints and machine-readable processes. This shift enables faster decision-making, operational efficiency, and frees employees for strategic tasks. AECM firms must redesign legacy systems to integrate AI agents fully, avoiding piecemeal pilots that competitors can outpace. Embracing agent-first models promises nonlinear performance gains and stronger collaboration without compromising security.
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