Agentic RAG for CRM: From Answers to Actions
DOI:
https://doi.org/10.63412/30syg211Keywords:
Retrieval Augmented Generation (RAG), Agentic AI, CRM Automation, Policy Guard, Auditable Actions, Edge and Cloud ComputingAbstract
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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