Multi-Agent Orchestration in Enterprise CRM: Agentforce Frameworks for Autonomous Service Delivery
DOI:
https://doi.org/10.22399/ijcesen.5331Keywords:
Multi-Agent Systems, Agent Orchestration, CRM, Autonomous Service Delivery, Enterprise Artificial IntelligenceAbstract
The evolution of enterprise Customer Relationship Management (CRM) systems is increasingly shaped by the emergence of multi-agent artificial intelligence (AI). This paper examines the integration of multi-agent orchestration frameworks—particularly Agentforce-style architectures—into enterprise CRM environments to enable autonomous service delivery. Drawing on recent developments in multi-agent systems (MAS), orchestration protocols, and enterprise AI governance, this study proposes a layered architectural model for CRM orchestration. The analysis highlights improvements in scalability, decision quality, and operational efficiency, while also addressing governance, interoperability, and policy compliance challenges. The findings suggest that multi-agent orchestration frameworks represent a foundational shift toward self-optimizing CRM ecosystems
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Copyright (c) 2026 International Journal of Computational and Experimental Science and Engineering
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