Responsible Agentic AI in Enterprise CRM Principles, Patterns, and Controls for Safe Customer Automation

DOI

10.2991/978-94-6239-654-8_55How to use a DOI?

Keywords

Agentic AI; Responsible AI; Enterprise CRM; Reinforcement learning; Deep Q-Network; Safe Automation; CRM 4.0

Abstract

Responsible Agentic AI in enterprise CRM signifies a shift in technology towards independent and ethical CRM interaction, with Reinforcement Learning (RL), agents can consider and consider to determine what action is best in the environment of interaction. Through using Deep Q-Network (DQN) classification, it obtains an average accuracy of 97.52% and thus has potential in going beyond what is expected using simple automation. Looking forward, it aims not only to bring change into CRM interaction logic by using responsible AI in decisions but also to construct CRM 4.0 system and interaction processes using explainable Reinforcement Learning and hence bring forward agentic AI technology as an innovation in CRM interaction.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sri Hari Deep Kolagani
PY  - 2026
DA  - 2026/04/24
TI  - Responsible Agentic AI in Enterprise CRM Principles, Patterns, and Controls for Safe Customer Automation
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 692
EP  - 707
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_55
DO  - 10.2991/978-94-6239-654-8_55
ID  - Kolagani2026
ER  -