Summary

The article discusses a significant transformation in enterprise software architecture where AI agents evolve from assistive tools to operational execution engines. This shift is characterized by traditional backends transitioning to governance roles, particularly in sectors like banking, healthcare, and retail. The adoption of protocols like the Model Context Protocol (MCP) allows AI agents to directly invoke services and orchestrate workflows, leading to increased efficiency and autonomy in enterprise applications. Predictions indicate that by 2026, 40% of enterprise applications will incorporate such autonomous agents.

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