Agentic Nesting Integrates Enterprise Apps with AI Agents

Enterprises often struggle with integrating numerous disparate business systems, leading to data silos and fragmented processes despite significant investments. Traditional integration methods like Enterprise Service Bus (ESB) and Robotic Process Automation (RPA) face challenges such as high architectural coupling and limited intelligence. This new research proposes "Agentic Nesting," a novel approach to address these issues. The Agentic Nesting framework treats each existing enterprise application as an autonomous AI agent, organized into a hierarchically nested structure rather than a flat network. It creates a digital proxy for each legacy application, allowing natural language interaction and autonomous control. A central orchestrator then coordinates these agents for task decomposition and dynamic dispatching, presenting a unified conversational interface for cross-application queries and process automation. The core contributions are the "Application-as-Agent" integration paradigm and the "Conversation-as-Integration" philosophy. This methodology promises to enhance coordination across heterogeneous systems and improve large-scale data applications by abstracting complexity and enabling more intelligent, flexible integration.