凯捷：2025代理型AI赋能企业商业价值释放：代理型AI的自动化、优化与规模化路径报告（英文版）（15页）.pdf

1、From promptto purposeUnlocking business value with agentic AIHow to automate,optimize,and scale agentic AIIn the enterprise conversation about AI,most of the attention and the hype has focused on generative AI and large language models(LLMs):the type of AI exemplified by ChatGPT and its ability to w

2、rite texts,create images,produce code,compose music,and more.Agentic AI is changing the conversation fast.According to Capgeminis recent research,1 93%of leaders believe successfully deploying agentic AI at scale in the next 12 months will deliver competitive advantage.Indeed,the pace of adoption wa

3、s so rapid that researchers felt the need to double-check with the majority of their respondents.Driving this adoption in the near term are process-intensive domains such as customer service,IT,sales,operations,and research and development.As organizations seek to unlock new levels of productivity,e

4、fficiency,and growth,the value of agentic AI is projected to reach$450 billion by 2028 2.However,realizing this value can be challenging.Powerful models are the foundation,but an effective agentic AI solution must also be built for ease,connectivity,and trust.This requires system design that priorit

5、izes seamless integration,clear governance frameworks,and reusable,composable architecture,as well as access to and governance of AI-ready data.Just as important is a business user interface that allows for efficient development and monitoring at scale by both technical and nontechnical users.Introd

6、uctionIn this paper,we explore the technical prerequisites for success,the most common enterprise hurdles,and how the right platform approach can address data fragmentation,unpredictable costs,and time-to-value.We also offer a practical checklist for the ideal solution and share examples of what suc