Enterprises are rapidly adopting agentic AI, with Gartner predicting that by 2028, 15% of daily work decisions will be made autonomously. Despite this potential, businesses face significant challenges in transitioning agentic pilots to production-ready solutions, as Deloitte’s study shows only 14% have deployable systems. Fundamental infrastructure issues, particularly legacy systems, hinder progress, with over 40% of projects likely to fail by 2027. Successful organizations are redesigning operations to optimize workflows for agent-native environments rather than layering over traditional processes. Notable examples include HPE’s AI agent Alfred and Toyota’s use of agentic tools to enhance supply chain management. Recognizing agents as a “silicon-based workforce,” firms are integrating them with human teams to focus on high-value tasks. By leveraging microservices models and frameworks like FinOps for AI, companies can navigate the complexities of automation. Embracing agentic AI signifies fundamental organizational change, shaping competitive strategies in the evolving economy. For more insights, visit Deloitte Insights.
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