ServiceNow Anthropic partnership makes Claude AI default for enterprise workflow platform

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ServiceNow announced a multi-year deal with Anthropic, positioning Claude AI as the preferred model across its AI-driven products. The partnership makes Claude the default for ServiceNow Build Agent, enabling developers to create applications using natural language. The deal extends Claude access to 29,000 ServiceNow employees and follows a similar OpenAI partnership announced just one week earlier.

ServiceNow Anthropic Partnership Positions Claude AI as Preferred Model

Enterprise workflow software company ServiceNow announced a multi-year deal with AI research lab Anthropic on Wednesday, making Claude AI the preferred model across its AI-powered workflows. The ServiceNow Anthropic partnership comes just one week after the company announced a similar collaboration with OpenAI, signaling an intentional multi-model strategy designed to give enterprise customers choice

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. ServiceNow declined to disclose the duration or monetary value of the agreement, though a recent funding target valued Anthropic at $350 billion in part due to these kinds of enterprise deals

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Source: TechCrunch

Source: TechCrunch

Claude AI Powers ServiceNow Build Agent for Natural Language Workflows

The partnership makes Claude AI the default model powering ServiceNow Build Agent, the company's vibe coding technology that transforms natural language for workflows into functional code. This tool uses large language models and retrieval augmented generation (RAG) to convert plain language and business needs into applications that run on the enterprise workflow platform

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. Amit Zavery, ServiceNow's president, COO and chief product officer, told Axios that Claude's code generation capability is "definitely the market leading," enabling both professional and non-technical workers to create software more quickly and efficiently

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Source: Axios

Source: Axios

Zavery explained that when customers build applications using Build Agent, ServiceNow provides the data model and generates scaffolding based on historical workflow patterns. "The grounding and scaffolding around these models really prevents a lot of those errors and hallucinations," he told CRN, addressing common concerns about vibe coding such as security risks and code quality

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. The platform maintains enterprise security and compliance throughout the process, guaranteeing outcomes based on ServiceNow's domain expertise.

Source: CRN

Source: CRN

Multi-Model Strategy Balances Customer Choice with Deep Integration

ServiceNow is pursuing what Zavery calls a multi-model strategy, refusing to view partnerships with Anthropic and OpenAI as mutually exclusive. "Enterprise customers want model choice. They want the right model for the right job -- keeping governance, security, and auditability consistent on the ServiceNow AI Platform," Zavery said via email

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. While customers remain free to use other platforms for vibe coding and AI-driven products, the deep integration of Claude AI models positions Anthropic's technology as the path of least resistance for ServiceNow users.

Bill McDermott, chairman and CEO of ServiceNow, framed the collaboration as proof that "deeply integrated platforms with an open ecosystem are how the future is built"

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. The partnership extends beyond customer-facing products to include a company-wide rollout of Claude to ServiceNow's 29,000 employees. Claude Code, Anthropic's vibe coding product designed specifically for coding tasks, is now available to the company's engineers

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Targeting Regulated Industries with Domain-Specific Training

The ServiceNow Anthropic partnership focuses heavily on regulated industries including life sciences and healthcare, where Claude's domain-specific training offers distinct advantages. "Anthropic with Claude has done a lot of training of data sets with our domain and context understanding of specific industries," Zavery explained to CRN

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. The companies plan to co-innovate on use cases such as issue resolution, research analysis, case management, and claims processing by combining ServiceNow's domain knowledge with Claude's industry-trained models.

ServiceNow is also integrating Claude into its AI Control Tower, a product launched last year to manage the lifecycles of AI deployments, AI agents, and AI systems. Built on Configuration Management Database (CMDB) technology, the AI Control Tower discovers, manages, observes, and tracks AI implementations while ensuring enterprise security and compliance

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. This capability allows customers to manage all their AI implementations through a single product, positioning ServiceNow as what the company calls an "AI control tower" for enterprise operations

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Early Results Show Efficiency Gains as Wall Street Demands ROI

ServiceNow's internal deployment of Claude has produced early results that address Wall Street's demand for tangible evidence that AI can improve workflows and deliver measurable returns. The company reports a 95% drop in prep time for sales among its 29,000 employees using Claude

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. Dario Amodei, CEO of Anthropic, emphasized that companies achieve better results when AI is "woven into the whole range of things workers do every day," rather than treated as an add-on tool

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The timing proves significant for ServiceNow, which rallied over 190% from the end of 2022 to the end of 2024 as demand for automated corporate workflows surged. However, that rally halted as investor sentiment on software stocks deteriorated throughout 2025, with Wall Street developing a consensus view that AI could replace most software

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. Partnerships with Anthropic and OpenAI help ServiceNow position itself as part of the AI wave rather than a victim of it. "There will always be disruption with any technology shift," Zavery acknowledged, "but the market segments we are in, what problems we are solving, AI is a very good enabler"

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The deal represents the latest in a series of sizable enterprise agreements for Anthropic, which has announced partnerships with global insurance provider Allianz, Accenture, IBM, Deloitte, and Snowflake in recent months

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. While enterprises have struggled to find measurable returns on AI investment, VCs recently predicted that 2026 will mark the turning point—though this represents the third consecutive year they've made such predictions

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