内容来源：https://aibusiness.com/agentic-ai/servicenow-and-anthropic-ai-deal

内容总结：

谷歌云赞助内容：如何选择首个生成式AI应用场景
建议企业从提升信息交互体验的领域着手，初步探索生成式AI应用。

企业级AI市场新动态
继与OpenAI达成合作后，企业服务平台ServiceNow于1月28日宣布与AI公司Anthropic建立战略合作，将在医疗健康、生命科学等跨行业工作流中集成Anthropic的Claude大模型。具体财务条款未披露。

根据协议，Claude将成为ServiceNow低代码AI智能体开发平台"ServiceNow Build Agent"的默认模型，帮助不同技术水平的开发者构建自主执行任务的智能工作流。在医疗健康领域，双方表示AI助手可辅助研究分析与理赔授权等场景。

合作还包括向ServiceNow全球2.9万名员工部署Claude，并向技术团队提供AI编程助手Claude Code。ServiceNow首席执行官比尔·麦克德莫特强调，此次合作"将关键应用构建能力延伸至各行各业、各层级员工"。Anthropic首席执行官达里奥·阿莫代指出，企业应避免将AI视为孤立工具，而需将其深度融入日常作业流程。

行业布局加速
此次合作聚焦智能体AI与自动化运营，是ServiceNow近期继牵手OpenAI后的又一重要布局。此前ServiceNow已计划在平台集成OpenAI的GPT-5.2模型，赋能IT、人力资源等领域的自主智能体。

Anthropic近期企业合作版图持续扩大，已与安联保险、埃森哲、IBM、德勤及Snowflake等全球机构达成协议，加速拓展其大语言模型的行业应用生态。

中文翻译：

由谷歌云赞助
如何选择首个生成式AI应用场景
要启动生成式AI项目，首先应关注能够优化人类信息交互体验的领域。

通过本次合作，Anthropic进一步深入企业级AI市场。
在与OpenAI达成协议一周后，ServiceNow宣布与Anthropic建立合作，将后者的Claude生成式AI模型嵌入其跨行业工作流中，涵盖医疗保健与生命科学等领域。
1月28日披露的合作协议未公开具体财务条款。

根据1月28日公布的协议，Claude还将成为IT服务商ServiceNow旗下AI智能体构建工具"ServiceNow Build Agent"的默认模型。该工具支持任何技术水平的开发者创建并部署能够自主决策与推理的智能工作流。
合作双方表示，在医疗保健与生命科学领域，AI辅助智能体可支持研究分析与理赔授权等任务。

此次合作还包括向ServiceNow全球2.9万名员工推广Claude模型，同时ServiceNow将为工程师与技术团队提供Anthropic开发的AI编程助手Claude Code。
ServiceNow首席执行官比尔·麦克德莫特在公告中表示："ServiceNow与Anthropic的合作正通过AI原生工作流，为全球顶级企业实现智能到行动的转化……这项合作让每个行业、每个层级的从业者都能构建、部署和扩展关键任务应用。"

Anthropic首席执行官达里奥·阿莫代在公告中指出，企业常误将AI视为独立工具而非融入日常工作，随着AI部署加速，这种整合将日益重要。
他表示："要获得更优成果，必须让AI成为工作流程的有机组成部分——渗透到员工日常工作的方方面面。"

此次合作标志着行业对智能体AI与自主运营的关注日益增长，也延续了ServiceNow近期与Anthropic竞争对手OpenAI的合作脉络。
在早前协议中，ServiceNow将把OpenAI的GPT-5.2模型集成至其平台，为IT、人力资源和客户服务等职能的自主AI智能体提供支持。

对Anthropic而言，本次合作是其扩大大型语言模型应用版图的最新举措。该公司近期已与全球保险巨头安联、埃森哲、IBM、德勤及Snowflake等企业达成多项合作协议。

英文来源：

Sponsored by Google Cloud
Choosing Your First Generative AI Use Cases
To get started with generative AI, first focus on areas that can improve human experiences with information.
With the partnership, Anthropic moves deeper into the enterprise AI market.
A week after it forged a deal with OpenAI, ServiceNow entered into an agreement with Anthropic to embed the generative AI vendor's Claude models in its workflows across industries, including healthcare and life sciences.
Financial terms of the agreement, revealed on Jan. 28, were not made public.
Under the deal, revealed on Jan. 28, Claude will also be he default model for the IT service vendor's AI agent builder, ServiceNow Build Agent, which enables developers of any skill level to create and deploy agentic workflows that can act and reason autonomously.
In healthcare and life sciences, the vendors said AI-assisted agents can support tasks such as research analysis and claims authorization.
The deal also includes the rollout of Claude to ServiceNow’s workforce of 29,000 employees, and ServiceNow will provide Anthropic’s AI-powered coding assistant Claude Code to engineers and technical teams.
“ServiceNow with Anthropic is turning intelligence into action through AI-native workflows for the world’s largest enterprises,” ServiceNow CEO Bill McDermott said in a release. This partnership … puts the power to build, deploy, and scale mission-critical applications into the hands of every person, in every industry, at every level.”
Anthropic CEO Dario Amodei said in the release that enterprises often make the mistake of treating AI as a standalone tool rather than embedding it into day-to-day work, something that will become increasingly important as companies look to ramp up AI deployments.
“The way to get much better results is to make AI an integral part of how you get work done -- woven into the whole range of things workers do every day,” he said.
The deal comes as part of a growing focus on supporting agentic AI and autonomous operations and follows ServiceNow’s recent partnership with Anthropic rival OpenAI.
In that deal, ServiceNow will embed OpenAI’s GPT-5.2 model into its platform to power autonomous AI agents for functions such as IT, HR, and customer service.
The venture also joins a spate of deals for Anthropic, which recently forged agreements with global insurer Allianz, as well as Accenture, IBM, Deloitte, and Snowflake, as it expands the reach of its large language models.