Agentic Enterprise: AI-Centric User to User-Centric AI
arXiv · 2025
Abstract
After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - personal, social, health, education, professional. In this paper, we take a closer look at the potential of AI for Enterprises, where decision-making plays a crucial and repeated role across functions, tasks, and operations. We consider Agents imbued with AI as means to increase decision-productivity of enterprises. We highlight six tenets for Agentic success in enterprises, by drawing attention to what the current, AI-Centric User paradigm misses, in the face of persistent needs of and usefulness for Enterprise Decision-Making. In underscoring a shift to User-Centric AI, we offer six tenets and promote market mechanisms for platforms, aligning the design of AI and its delivery by Agents to the cause of enterprise users.
Six tenets of user-centric AI
- Primacy of process-orientation in AI.
- Forward thinking AI.
- Locally privacy preserving agent-learning.
- Market mechanism platform for agents and users.
- Agent risk-reward diversity and quality-price diversity.
- Low entry, exit barriers for agents.
Citation
@misc{narechania2025agenticenterprise,
author = {Arpit Narechania and Alex Endert and Atanu R Sinha},
title = {{Agentic Enterprise: AI-Centric User to User-Centric AI}},
year = {2025},
eprint = {2506.22893},
archivePrefix = {arXiv},
primaryClass = {cs.AI},
url = {https://arxiv.org/abs/2506.22893},
}