Agentic Enterprise: AI-Centric User to User-Centric AI
This work targets enterprises seeking to improve decision-making processes, but it appears incremental as it builds on existing AI paradigms without introducing new methods or data.
The paper addresses the problem of AI's limited impact on enterprise decision-making by proposing a shift from AI-centric to user-centric AI, introducing six tenets and market mechanisms to enhance decision productivity through AI agents.
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.