Agentic Artificial Intelligence Orchestration and Interoperable Multi-Agent Frameworks in Enterprise Commerce Transformation
Keywords:
Agentic artificial intelligence, multi-agent systems, composable commerce, enterprise architectureAbstract
The rapid evolution of agentic artificial intelligence has fundamentally altered how enterprises conceptualize autonomy, coordination, and decision-making within digital ecosystems. As organizations transition from monolithic software architectures toward modular, composable commerce ecosystems, the orchestration of autonomous agents emerges as a central architectural and governance challenge. This research article develops an extensive theoretical and analytical examination of agentic AI orchestration frameworks with particular emphasis on interoperability, multi-agent communication protocols, and enterprise-scale transformation. Grounded in contemporary scholarship on large language model agents, multi-agent systems, and composable commerce, the study integrates architectural theory with applied enterprise perspectives to elucidate how agentic AI systems enable dynamic adaptation, contextual intelligence, and decentralized control. A central analytical anchor is the enterprise transformation case articulated by Upadhyay (2026), which demonstrates how agentic AI orchestration frameworks operationalize composable commerce principles through agent collaboration, workflow negotiation, and adaptive governance. Building upon this foundation, the article synthesizes insights from agent interoperability surveys, multi-agent conversation frameworks, semantic function orchestration, and ethical analyses to construct a comprehensive conceptual model of agentic AI orchestration. The methodology adopts a qualitative, theory-driven research design, combining structured literature analysis with comparative architectural interpretation. Results reveal recurring patterns in agent coordination mechanisms, memory architectures, and protocol abstraction layers that collectively enable scalability and resilience in enterprise systems. The discussion critically evaluates competing theoretical positions on autonomy versus control, emergent behavior versus predictability, and innovation versus ethical accountability. By articulating limitations, unresolved tensions, and future research trajectories, this study contributes a foundational, publication-ready reference for scholars and practitioners seeking to understand the role of agentic AI orchestration in the next generation of enterprise commerce ecosystems.
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Copyright (c) 2026 Dr. Lars Henrik Nygaard
This work is licensed under a Creative Commons Attribution 4.0 International License.
Individual articles are published Open Access under the Creative Commons Licence: CC-BY 4.0.
