Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
Summary
This paper proposes Agentic Nesting, a multi-agent collaboration framework that encapsulates existing enterprise applications as AI agents in a hierarchically nested structure, enabling natural-language interaction and cross-application orchestration as an alternative to traditional ESB/API/RPA integration approaches.
View Cached Full Text
Cached at: 08/07/26, 07:45 AM
# Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services Source: [https://arxiv.org/abs/2608.05159](https://arxiv.org/abs/2608.05159) Authors:[Xi Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+X),[Kun Li](https://arxiv.org/search/cs?searchtype=author&query=Li,+K),[Xianyao Ling](https://arxiv.org/search/cs?searchtype=author&query=Ling,+X),[Gang Yin](https://arxiv.org/search/cs?searchtype=author&query=Yin,+G),[Liang Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+L),[Jiang Wu](https://arxiv.org/search/cs?searchtype=author&query=Wu,+J),[Wenbo Lei](https://arxiv.org/search/cs?searchtype=author&query=Lei,+W),[Jun Xu](https://arxiv.org/search/cs?searchtype=author&query=Xu,+J),[Annie Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+A),[Fu Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+F),[Weizhe Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+W) [View PDF](https://arxiv.org/pdf/2608.05159) > Abstract:Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result in severe data silos and process fragmentation\. Enterprises have invested considerable financial and material resources in building these applications, however, effectively leveraging and orchestrating them remains a formidable challenge\. Conventional approaches to enterprise application integration, encompassing middleware architectures such as Enterprise Service Bus \(ESB\), API gateway infrastructures, and Robotic Process Automation \(RPA\), suffer from inherent limitations like high architectural coupling, escalating operation and maintenance costs, and limited intelligence capabilities\. This paper proposes Agentic Nesting, a multi\-agent collaboration framework in which existing enterprise applications are encapsulated as autonomous AI agents within a hierarchically nested structure\. Rather than flat interconnection, agents are organized into layered stewardship topologies that mirror the compositional complexity of enterprise ecosystems\. The framework extracts a digital agent proxy from each legacy application to enable natural\-language interaction and autonomous manipulation, coordinates multiple agents through a central orchestrator for task decomposition and dynamic dispatching, and exposes a unified conversational interface for cross\-application querying and process orchestration\. The main contributions of this paper are the proposition of the "Application\-as\-Agent" integration paradigm and the "Conversation\-as\-Integration" interaction philosophy, together with an exploration of the generalization potential of this methodology in scenarios encompassing heterogeneous system coordination, and large\-scale data applications\. ## Submission history From: Xi Wang \[[view email](https://arxiv.org/show-email/58a44639/2608.05159)\] **\[v1\]**Mon, 25 May 2026 08:12:36 UTC \(975 KB\)
Similar Articles
Agentic IoT: Architectures, Applications, and Challenges Toward the Internet of Agents
This survey paper examines Agentic IoT as a next-generation cognitive IoT paradigm that integrates autonomous AI agents with cyber-physical systems, reviewing architectures, applications, challenges, and future directions.
Agent collaboration control platform vs monolithic workspace for multi-agent systems: thoughts?
The article discusses two emerging architectural approaches for multi-agent systems—integrated workspaces and thin coordination layers—and debates their viability for enterprise adoption.
Build AI Agent for Company
The author shares lessons from building an agentic system at work, describing failures with a giant prompt, excessive tools, and dynamic sub-agents, and ultimately finding success with a fixed orchestrator and specialized child agents for each domain.
A practical look at building agentic apps without all the plumbing
A practical guide on building AI agent applications with reduced infrastructure complexity, focusing on tools that handle the underlying plumbing.
Enterprise Agents
A new product or update related to AI agents for enterprise use, likely focusing on automation and business workflows.