Agentic RAG for CRM: From Answers to Actions

Authors

  • Abinaya Mettupatti Sivagnanam GDIT Author
  • Srikanth Singireddy Author
  • Vinoth Asoor Palanivel Author

DOI:

https://doi.org/10.63412/30syg211

Keywords:

Retrieval Augmented Generation (RAG), Agentic AI, CRM Automation, Policy Guard, Auditable Actions, Edge and Cloud Computing

Abstract

Many CRM teams need more than a text answer. They also need the agent to take the next step. We offer a hands on blueprint for an agent that writes a grounded reply and performs a safe action in the CRM. The design is small on purpose: a compact action record with a signature, a policy guard for roles, limits, and required fields, and a simple split between edge and cloud for speed and privacy. An illustrator style diagram (illatrater) follows one case end to end, from a customer request, to retrieved policy, to an approved update with an audit receipt. We close with light weight metrics and a staged roll out plan that a small team can try, measure, and refine.

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Published

2025-12-01

How to Cite

[1]
A. Mettupatti Sivagnanam, S. . Singireddy, and V. Asoor Palanivel, “Agentic RAG for CRM: From Answers to Actions”, IJGIS, vol. 2, no. 9, Dec. 2025, doi: 10.63412/30syg211.

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