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Salesforce与Anthropic推出Claudeforce 双向打通AI与CRM能力

亿邦AI 2026-09-02 09:43
亿邦AI 2026/09/02 09:43

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本文核心信息是全球头部CRM服务商Salesforce与AI公司Anthropic扩大战略合作,推出双向打通AI推理能力与CRM能力的新品Claudeforce,核心干货整理如下:

1. 本次合作采用双向互通模式:Salesforce的数据和工作流可接入Claude,Claude同时成为Salesforce全产品矩阵的默认推理引擎,被双方定义为企业软件运行模式的新转向。

2. 首批上线Salesforce in Claude插件,内置37个预建销售技能,覆盖会议准备、交易健康核查等销售常用场景,可自动更新销售管线,权限管理便捷,目前面向试点客户开放,2026年9月开启公测,后续还将推出更多集成功能。

3. 另一侧Claude已接入Salesforce全系列Agentforce产品,满足受监管行业的数据安全需求,已有CrowdStrike、RBC财富管理等头部企业作为早期采用者。

品牌商可从本次合作中获取AI赋能业务、产品升级的相关干货,具体整理如下:

1. 本次合作推出的新品实现了Claude的AI推理能力,与品牌沉淀在Salesforce的数十年客户信息、业务上下文深度融合,可帮助品牌自动完成销售管线更新、交易健康核查、管线复盘等销售工作,有效提升销售端运营效率,目前已有头部品牌完成早期测试应用。

2. 新品充分满足合规要求,所有AI模型流量都保留在Salesforce的虚拟私有云内,所有操作都经由Salesforce流转,符合企业现有业务规则,能满足受监管行业品牌的数据安全要求。

3. 本次合作代表了企业业务AI化的新方向,AI可直接访问企业底层数据和业务规则,无需人工操作静态界面,为品牌后续推进全链路AI升级提供了清晰的参考方向。

卖家可从本次合作中获取AI赋能销售运营的机会与相关干货,具体整理如下:

1. 本次推出的集成产品为卖家提供了AI升级销售流程的成熟工具,首批上线的插件内置37个预建销售技能,覆盖会议准备、管线复盘、交易核查等卖家高频工作场景,可基于实时营收数据自动推理,自动更新销售管线,还能自动读取现有业务数据搭建定制化销售数据仪表盘,可大幅降低销售运营的人工成本。

2. 产品合规性与安全性较强,所有操作都遵循Salesforce原有业务规则,全团队身份权限可集中管理,数据都保存在私有云内,风险可控。

3. 该产品目前已经开放试点,2026年9月将开启公开测试,后续还会推出更多跨平台集成功能,卖家可提前关注把握AI赋能业务增长的新机会。

工厂可从本次AI+企业服务的合作中获取推进数字化、电商转型的相关启示干货,具体整理如下:

1. 本次合作的核心思路是将AI能力与企业自身沉淀的业务数据、工作流、治理体系深度融合,而非简单在原有系统上叠加AI功能,这一思路对工厂推进数字化转型有重要参考价值,工厂做数字化升级不能盲目堆砌工具,要结合自身生产、销售业务流程做深度适配融合。

2. 本次产品的开发思路也值得参考:针对高频通用场景提前开发标准化预建技能,同时支持基于企业现有数据做定制化调整,平衡了通用性和个性化需求,这对工厂开发产品、搭建数字化系统同样适用。

3. 本次合作也印证了AI+企业业务融合已经成为明确的行业趋势,工厂推进数字化和电商转型,应当提前布局AI与自身业务的结合,挖掘沉淀多年的生产、销售数据价值,提升运营效率。

To B企业服务领域服务商可从本次合作中获取行业发展、产品开发的相关干货,具体整理如下:

1. 行业发展新趋势:当前企业服务正在加速转向AI驱动的全新运行模式,AI代理可直接访问企业底层数据、工作流和业务规则,替代传统人工操作静态界面的模式,AI能力与企业原有业务体系深度融合已经成为行业主流发展方向。

2. 企业客户的核心痛点:当前客户既需要前沿AI的推理能力提升运营效率,又对数据安全、合规性有极高要求,尤其是受监管行业,要求数据和AI工作负载都保留在企业自身信任边界内,同时要求适配现有业务规则,无需大幅改造原有系统就能使用。

3. 成熟落地方向参考:本次合作给出了可行的解决方案,通过双向打通能力保障融合深度,提前开发场景化预建功能降低使用门槛,简化接入流程,仅需一次连接就能实现全团队权限管理,同时满足合规要求,对服务商开发同类产品有很高参考价值。

To B平台商可从本次合作中获取平台产品升级、运营管理的相关干货,具体整理如下:

1. 当前企业客户对平台的核心需求已经转向AI深度赋能,客户不再满足表层AI功能叠加或简单的API调用,需要AI能力和平台原有数据、工作流、治理体系深度打通,实现自动化业务运营,这要求平台加快AI化产品升级节奏。

2. 本次合作的很多做法值得平台借鉴:权限管理上仅需管理员完成一次连接,就可实现全团队身份权限的集中管理;数据安全上,将所有模型流量保留在客户的信任边界内,充分满足合规要求,适配客户现有业务规则,不需要客户大幅改造原有体系。

3. 产品推广节奏上,可采用先试点、再公测、逐步上新的模式,降低上线风险,同时平台要积极和上下游头部厂商开展深度合作,共同开发场景化功能,更好满足客户需求,提升平台竞争力。

产业研究者可从本次合作中获取AI+企业服务领域的最新研究素材与产业动向干货,具体整理如下:

1. 最新产业动向:全球头部CRM厂商Salesforce与头部生成式AI厂商Anthropic开展深度战略合作,推出双向打通的Claudeforce,真正实现AI推理能力与企业CRM数据、工作流、治理体系的深度融合,标志着企业软件正式开启AI驱动运行模式的转型,AI代理替代人工操作静态界面成为新的产业方向。

2. 创新合作模式:本次合作推出了AI模型厂商与垂直企业服务平台双向赋能的全新商业模式,AI厂商输出推理技术能力,企业服务平台输出沉淀多年的行业数据与业务体系,双方联合开发场景化功能,实现优势互补,为AI落地企业服务提供了可参考的全新合作样本。

3. 本次合作也体现出企业级AI落地的核心要求是安全可信、合规可控,同时资本市场对该方向持乐观态度,合作官宣同日Salesforce盘后股价上涨,为相关领域研究提供了新的案例与方向。

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Quick Summary

This article summarizes the expanded strategic partnership between global leading CRM provider Salesforce and AI firm Anthropic, which has launched Claudeforce, a new product that integrates AI inference capabilities from Anthropic with Salesforce’s CRM functionality in both directions. Key takeaways are as follows:

1. The partnership adopts a bidirectional integration model: Salesforce’s customer data and workflows can connect directly to Claude, while Claude becomes the default inference engine across Salesforce’s entire product portfolio. Both companies frame this collaboration as a new paradigm for enterprise software operation.

2. The first product released is the Salesforce for Claude plugin, which comes with 37 pre-built sales capabilities covering common sales workflows including meeting preparation and deal health checks. It can automatically update sales pipelines and supports streamlined permission management. The plugin is currently available to pilot customers, with public testing scheduled to launch in September 2026, and more integrated features will roll out in the future.

3. On the other side, Claude has already been integrated into Salesforce’s full Agentforce product line to meet the data security requirements of regulated industries. Early adopters already include leading companies such as CrowdStrike and RBC Wealth Management.

For brands, this partnership delivers key insights on AI-powered business enablement and product upgrades, as summarized below:

1. The new product deeply integrates Claude’s AI inference capabilities with the decades of customer information and business context brands have stored in Salesforce. It enables brands to automate routine sales work including sales pipeline updates, deal health checks and pipeline reviews, effectively boosting sales operation efficiency, and leading brands have already completed early testing and adoption.

2. The new product meets strict compliance requirements: all AI model traffic stays within Salesforce’s virtual private cloud, and all operations are routed through Salesforce. This aligns with existing enterprise business rules and satisfies the data security requirements of brands in regulated industries.

3. This partnership signals a new direction for AI transformation of enterprise operations: AI can directly access a company’s underlying data and business rules, eliminating the need for manual interaction with static interfaces. It provides a clear reference for brands planning end-to-end AI upgrades.

Sellers can gain insights on AI-powered sales operations opportunities from this partnership, as summarized below:

1. The newly launched integrated product provides sellers with a mature tool to AI-enable their sales processes. The first-released plugin includes 37 pre-built sales capabilities covering high-frequency seller workflows such as meeting preparation, pipeline reviews and deal verification. It can run automated inferences based on real-time revenue data, automatically update sales pipelines, and build customized sales dashboards by pulling existing business data, significantly cutting labor costs for sales operations.

2. The product delivers strong compliance and security: all operations follow Salesforce’s original business rules, team-wide identity and access permissions can be managed centrally, and all data is stored in private cloud, keeping risks under control.

3. The product is currently available for pilot testing, with public testing launching in September 2026, and more cross-platform integration features will be added later. Sellers can follow this development early to seize the opportunity of AI-powered business growth.

Factories can draw insights for digital transformation and e-commerce upgrading from this AI + enterprise services collaboration, as summarized below:

1. The core logic of this partnership is to deeply integrate AI capabilities with a company’s accumulated business data, workflows and governance system, rather than simply layering AI on top of existing systems. This approach offers important reference value for factories pursuing digital transformation: factories should not blindly stack tools for digital upgrades, but instead pursue deep integration adapted to their own production and sales processes.

2. The product development approach is also instructive: the partnership delivers pre-built standardized capabilities for high-frequency common use cases, while supporting custom adjustments based on a company’s existing data, striking a balance between general usability and personalized needs. This approach is equally applicable to factories developing their own products and building digital systems.

3. This collaboration confirms that deep integration of AI into enterprise operations has become a clear industry trend. Factories advancing digital and e-commerce transformation should plan early for integrating AI into their own operations, unlock the value of their years of accumulated production and sales data, and improve operational efficiency.

B2B enterprise service providers can draw insights on industry trends and product development from this partnership, as summarized below:

1. New industry trend: The enterprise service sector is accelerating its shift toward a fully AI-driven operating model. AI agents can directly access enterprises’ underlying data, workflows and business rules, replacing the traditional model that requires manual operation of static interfaces. Deep integration of AI capabilities with enterprises’ existing business systems has become the mainstream direction of industry development.

2. Core pain points of enterprise clients: Today’s clients not only need cutting-edge AI inference capabilities to improve operational efficiency, but also place extremely high demands on data security and compliance. This is especially true for regulated industries, which require all data and AI workloads to remain within the enterprise’s trusted boundary, and require solutions that align with existing business rules, so they can be adopted without major overhauls of existing systems.

3. Reference for mature implementation: This partnership delivers a proven viable solution. It achieves deep integration through bidirectional capability connectivity, lowers adoption barriers by pre-building scenario-specific features, and simplifies onboarding: just one connection enables team-wide permission management, while meeting all compliance requirements. It serves as a highly valuable reference for providers developing similar products.

B2B platform operators can draw insights for platform product upgrading and operation management from this partnership, as summarized below:

1. Today’s enterprise clients’ core demand for platforms has shifted to deep AI enablement. Clients are no longer satisfied with surface-level AI feature overlays or simple API access; instead, they require deep integration between AI capabilities and the platform’s existing data, workflows and governance systems to enable automated business operations. This requires platforms to accelerate the pace of AI-powered product upgrading.

2. Many practices from this partnership are valuable references for platforms: for permission management, only one connection by the administrator is required to enable centralized management of team-wide identity and access rights; for data security, all model traffic remains within the client’s trusted boundary, fully meeting compliance requirements and aligning with clients’ existing business rules, without requiring major overhauls of clients’ existing systems.

3. For product go-to-market节奏, platforms can adopt the pilot-first, public-test second, incremental rollout model to reduce launch risk. Platforms should also actively pursue in-depth cooperation with leading upstream and downstream vendors to co-develop scenario-specific features, better meet client demand, and improve platform competitiveness.

Industry researchers can access the latest industrial development insights and research material on the AI + enterprise services sector from this partnership, as summarized below:

1. Latest industry development: Global leading CRM vendor Salesforce and top generative AI developer Anthropic have formed a deep strategic partnership and launched Claudeforce, a bidirectionally integrated product that truly delivers deep integration between AI inference capabilities and enterprise CRM data, workflows and governance systems. This collaboration marks the official start of the AI-driven transformation of enterprise software operation, with AI agents replacing manual operation of static interfaces as the new industry direction.

2. Innovative cooperation model: This partnership establishes a new business model of bidirectional enablement between AI model developers and vertical enterprise service platforms. AI vendors provide inference technology capabilities, while enterprise service platforms contribute their years of accumulated industry data and business systems. The two parties co-develop scenario-specific functions to achieve complementary advantages, creating a new referenceable cooperation model for AI adoption in enterprise services.

3. This partnership also demonstrates that the core requirements for enterprise-grade AI adoption are security, trustworthiness, compliance and controllability. Capital markets have reacted positively to the development: Salesforce’s after-hours share price rose on the same day the partnership was announced. This collaboration provides a new case and research direction for studies in related fields.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

2026年8月26日,Salesforce与Anthropic宣布扩大战略合作伙伴关系,推出Claudeforce,将Claude的推理能力与Salesforce的企业数据、工作流、业务逻辑、治理体系相结合,为两个平台的AI驱动操作提供支持。本次合作呈现双向互通模式,Salesforce的数据和工作流可接入Claude,Claude同时成为Salesforce全产品矩阵的默认推理引擎。

合作首批上线Salesforce in Claude插件,内置37个预建销售技能,支持销售及AI代理基于实时营收数据推理,自动更新销售管线,直接在Claude内完成合规操作。该插件依托Salesforce的AIforce企业集成层搭建,通过MCP服务器、API和CLI工具连接业务数据、工作流与AI代理。双方将本次发布定义为企业软件运行模式的转向,AI代理可直接访问底层数据、工作流和业务规则,无需用户操作静态界面。

前述插件的预建技能覆盖会议准备、交易健康度核查、管线复盘等任务,由双方联合开发,适配Claude的推理和代理工具调用能力,并非叠加在Salesforce API之上的通用提示词。插件自带的入职流程会读取销售现有上下文,包括Salesforce记录、Slack活动及其他关联数据,搭建定制化的账户和实时销售管线数据仪表盘。通过插件执行的所有操作都会经由Salesforce流转,确保符合企业现有业务规则,仅需管理员完成一次连接,后续全销售团队的身份验证和权限都可集中管理。目前该插件面向部分试点客户开放,2026年9月将开启更大范围的公开测试。双方后续还计划推出更多跨Claude、Salesforce、Slack的集成功能,更多预建技能预计2026年下半年上线。

另一方向上,Claude目前已接入Salesforce全系列Agentforce产品,作为Atlas推理引擎背后的支撑模型,默认支撑Agentforce Vibes和Agentforce Coworker功能,也可在Agent Builder中自主选择调用。Claude通过Amazon Bedrock运行在Salesforce的信任边界内,模型流量全部保留在Salesforce的虚拟私有云内,满足受监管行业客户数据和AI工作负载留存的需求,CrowdStrike和RBC财富管理是该配置的早期采用者。

Salesforce董事会主席兼CEO Marc Benioff称,全球顶尖AI与全球顶尖CRM的结合可实现优势互补,概率智能本身无法运营企业,确定性系统不具备推理能力,Claude的推理能力与企业日常运行依赖的可信数据、工作流、治理体系融合后,可提供具备思考、推理和行动能力的动态界面。Anthropic联合创始人兼CEO Dario Amodei称,前沿智能应具备安全、可信、高能力的特性,这也是全球头部企业选择Claude处理核心工作的原因,通过本次合作,企业可调用沉淀在Salesforce内数十年的客户信息和业务上下文,支撑业务运营和增长。

本次官宣与Salesforce2027财年第二季度财报发布同日,消息公布后,该公司股价在盘后交易中出现上涨。

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FAQ回顾

Claudeforce是什么?

Claudeforce是Salesforce与Anthropic于2026年8月26日扩大战略合作伙伴关系推出的产品,将Claude的推理能力与Salesforce的企业数据、工作流、业务逻辑、治理体系相结合,双向打通AI与CRM能力,支撑企业AI驱动操作。

Salesforce in Claude插件有哪些功能?

该插件是Claudeforce首批上线的功能,内置37个预建销售技能,覆盖会议准备、交易健康度核查、管线复盘等任务,支持基于实时营收数据推理、自动更新销售管线,操作全程合规,2026年9月将开启更大范围公开测试。

Claudeforce能保障企业数据安全合规吗?

可以,Claude通过Amazon Bedrock运行在Salesforce的信任边界内,模型流量全部保留在Salesforce的虚拟私有云内,可满足受监管行业客户数据和AI工作负载留存的需求,CrowdStrike、RBC财富管理是该配置的早期采用者。

Claudeforce对企业运营有什么价值?

Claudeforce实现AI推理能力与企业可信数据、工作流、治理体系的融合,可提供具备思考、推理和行动能力的动态界面,助力企业调用沉淀的客户信息和业务上下文,支撑业务运营和增长。

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