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Global Journal of Engineering and Technology Advances
International Peer reviewed Engineering Journal || Crossref DOI || Impact Factor 8.6 || ISSN: 2582-5003

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Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

Autonomous CRM agents: Architecting intelligent assistants for scalable, human-like customer engagement

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  • Autonomous CRM agents: Architecting intelligent assistants for scalable, human-like customer engagement

Vikas Reddy Penubelli *

LinkedIn, Independent researcher.
 
Research Article
Global Journal of Engineering and Technology Advances, 2025, 23(03), 209-215.
Article DOI: 10.30574/gjeta.2025.23.3.0196
DOI url: https://doi.org/10.30574/gjeta.2025.23.3.0196
Received on 04 May 2025; revised on 01 June 2025; accepted on 04 June 2025
 
The evolution of customer relationship management (CRM) platforms is entering a new era with the integration of generative AI and autonomous agent architectures. This article explores the transformation of CRM systems, from traditional models to AI-powered platforms that leverage large language models for automating customer engagement. We discuss the architectural primitives, design patterns, and agent-enablement infrastructures that support autonomous CRM agents. Security, compliance, and transparency in these systems are also addressed. Furthermore, we explore the skills and platform capabilities necessary to thrive in the new CRM landscape, emphasizing the potential for these systems to scale human-like customer interactions while enhancing business operations.
 
Autonomous CRM Agents; Generative AI; Retrieval-Augmented Generation; Dialog Orchestration; Customer Engagement
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2025-0196.pdf

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Vikas Reddy Penubelli. Autonomous CRM agents: Architecting intelligent assistants for scalable, human-like customer engagement. Global Journal of Engineering and Technology Advances, 2025, 23(3), 209-215. Article DOI: https://doi.org/10.30574/gjeta.2025.23.3.0196

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