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Claude:Blog(网页)·· 2026-04-30精选AI 评分64

构建企业级AI智能体:领先企业的转型指南

Building AI agents for the enterprise

AI 导读

2025年数据显示,美国员工工作AI使用率已从2023年的20%升至40%。真正获得持续竞争优势的企业正将智能体AI深度嵌入工作流程,并将机构知识编码成可累积的系统。本指南以欧莱雅、Lyft和乐天为例,提出企业AI转型三大支柱:跨越“智能体思维鸿沟”、基于实际工作流程培训员工、在压缩信息密集型流程时保留人工判断,以及构建能创造收入的新产品能力。Claude Cowork平台为此提供了无需定制开发的团队级解决方案,并包含六个月的落地框架。

推荐理由

从 L'Oréal、Lyft 这些案例看,企业怎么把 AI 智能体扎进业务流程,比泛泛而谈的 AI 转型文章实在得多。

正文

In this guide, we share how leading organizations are using agents to transform their work today, and how Claude Cowork brings these capabilities to every team.

  • Category

    Agents

  • Product

    Claude Cowork

  • Date

    April 30, 2026

  • Reading time

    5

    min

  • https://claude.com/blog/building-ai-agents-for-the-enterprise

Our September 2025 Anthropic Economic Index found that in the U.S., 40 percent of employees report using AI at work, up from 20 percent in 2023. While these are significant gains, a looming question remains: will AI produce lasting advantages or incremental gains that plateau within a quarter? 

The enterprises pulling ahead are doing something different. They're embedding agentic AI into how employees work, how processes run, and what products are possible. They're encoding institutional knowledge into systems that compound over time, and they're seeing returns that are difficult for competitors to replicate.

To help leaders chart this path, we put together a guide on the three pillars of enterprise AI transformation, with examples from organizations doing this work today: L'Oreal, Lyft, and Rakuten. The guide also covers how to bring these capabilities to every team in your organization with Claude Cowork, without requiring a custom build for each one.

  • How to overcome the "agentic thinking divide" and why some AI deployments compound while others stall
  • Best practices for upskilling employees with AI that reflects how your organization actually works
  • Examples of how organizations can compress information-dense processes without sacrificing human-in-the-loop judgement and expertise
  • Guidance for building new product capabilities that generate revenue, not just reduce cost
  • A six-month deployment framework for rolling out Claude Cowork 
  • Customer stories from L'Oreal, Lyft, and Rakuten

The companies getting the biggest returns from AI are being deliberate about how they teach it to employees, where they apply it, and what they build next.

with Claude Cowork today.

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来源:Claude:Blog(网页) · claude.com