Anthropic is accelerating its push into enterprise AI through two major partnership expansions—one with Snowflake and another with Accenture—aimed at helping large organizations move from AI experimentation to full-scale production. Together, the agreements address both sides of enterprise AI adoption: embedding AI directly into governed data environments and scaling deployment through services, training, and industry expertise.

Anthropic and Snowflake announced a $200 million, multi-year expansion of their strategic partnership to bring Claude models directly into Snowflake’s platform. The agreement makes Claude available to more than 12,600 Snowflake customers across Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure, while establishing a joint go-to-market initiative focused on deploying AI agents at enterprise scale.

Through the integration, enterprises can use Claude to analyze both structured and unstructured data while maintaining Snowflake’s built-in security and governance controls. Business users can ask questions in plain English, with Claude determining what data is required, retrieving it from across the Snowflake environment, and delivering results. According to Snowflake’s internal benchmarks, Claude achieves greater than 90% accuracy on complex text-to-SQL tasks.

Snowflake also uses Claude internally. Claude Code supports developer productivity across Snowflake’s engineering teams, while a Claude-powered go-to-market AI assistant built on Snowflake Intelligence helps sales teams centralize data, ask natural language questions, and accelerate deal cycles.

Thousands of Snowflake customers already process trillions of Claude tokens per month through Snowflake Cortex AI. The next phase of the partnership focuses on deploying AI agents capable of multi-step reasoning, combining Claude’s advanced reasoning with Snowflake’s governed data and AI environment.

“Enterprises have spent years building secure, trusted data environments, and now they want AI that can work within those environments without compromise,” said Dario Amodei, CEO and co-founder of Anthropic. “This partnership brings Claude directly into Snowflake, where that data already lives.”

By bringing Claude directly into Snowflake’s AI Data Cloud, enterprises can analyze both structured and unstructured data using natural language while maintaining strict security and governance controls.

The expanded partnership includes:

Early adopters are already using Claude on Snowflake to support production workloads. Simon Data, a composable customer data platform provider, uses Claude on Snowflake to uncover previously hidden patterns in customer data while maintaining strict governance standards. Intercom uses Claude through Snowflake Cortex AI to power its Fin AI Agent, supporting customer service automation.

“This has transformed how we work with our customers to achieve increased Fin AI Agent automation rates for their support volume,” said Dave Lynch, VP of Engineering at Intercom. “We can do things we simply could not feasibly do before.”

Snowflake and Anthropic also highlighted use cases in regulated industries. For example, a wealth management firm can use Snowflake Intelligence, powered by Claude, to synthesize client holdings, market data, and compliance rules to generate personalized portfolio recommendations—entirely within Snowflake’s security perimeter.

Enterprises can begin deploying Claude on Snowflake through available quickstart resources, with additional guidance offered via Anthropic’s enterprise deployment materials. Claude is currently available across Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure, allowing organizations to deploy enterprise AI workloads across their preferred cloud environments.

In a separate announcement, Anthropic and Accenture revealed a major expansion of their partnership aimed at helping enterprises move from AI pilots to full-scale deployment. Central to the agreement is the formation of the Accenture Anthropic Business Group, making Anthropic one of Accenture’s select strategic partners with a dedicated practice built around Claude.

The formation of the Accenture Anthropic Business Group gives enterprises access to a dedicated team focused on deploying Claude at scale. For Accenture’s clients, this reduces deployment risk by providing a ready-made bench of Claude-trained professionals, allowing organizations to move from pilot projects to production systems without building internal AI capabilities from scratch.

Approximately 30,000 Accenture professionals will be trained on Claude, creating one of the largest ecosystems of Claude practitioners globally. Accenture also becomes a premier AI partner for Claude Code, which the companies say now holds over half of the AI coding market, making it available to tens of thousands of Accenture developers.

The partnership includes a new joint offering designed to help CIOs measure value and drive AI adoption across engineering organizations. The offering places Claude Code at the center of the enterprise software development lifecycle, combined with Accenture frameworks for ROI measurement, workflow redesign, and change management. This approach is intended to translate developer productivity gains into broader business impact, including faster release cycles, shorter development timelines, and quicker delivery of new products and services.

According to the companies, Claude Code enables junior developers to complete complex integration tasks more quickly, while allowing senior developers to focus on higher-value work such as architecture, validation, and strategic oversight.

“This exciting expansion of our partnership with Anthropic will help our clients accelerate the shift from experimenting with AI to using it as a catalyst for reinvention across the enterprise,” said Julie Sweet, Chair and CEO of Accenture.

Anthropic and Accenture are jointly developing industry offerings with an initial focus on highly regulated sectors, including financial services, healthcare, life sciences, and the public sector. Use cases include automating compliance workflows in financial services, supporting research and clinical trial processing in life sciences, and deploying AI agents to help citizens navigate government services while maintaining data privacy.

The partners highlighted early industry-specific use cases where governance and precision are critical:

The partnership is grounded in a shared commitment to responsible AI, combining Anthropic’s constitutional AI principles with Accenture’s governance and risk management expertise. To support hands-on enterprise engagement, Accenture is integrating Claude into its global network of Accenture Innovation Hubs, where Global 2000 clients can prototype, test, and validate AI solutions in controlled environments before deploying them into production.

This approach addresses a critical barrier to enterprise AI adoption: the need to experiment and learn without exposing live systems or sensitive data. The companies also plan to co-invest in a Claude Center of Excellence within Accenture, creating a dedicated environment for designing AI solutions tailored to specific industry, regulatory, and enterprise requirements.

Accenture clients can engage their account teams to explore deployment options, while enterprises evaluating Claude can access additional guidance through Anthropic’s enterprise resources. Claude is available across Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure, enabling enterprises to deploy AI workloads across their preferred cloud environments.

Q: What is Anthropic announcing?
A: Anthropic is expanding its enterprise AI strategy through deeper partnerships with Snowflake and Accenture, focused on embedding Claude into enterprise data platforms and scaling deployment across large organizations.

Q: How does the Snowflake partnership work?
A: Claude models are integrated directly into Snowflake’s AI Data Cloud, allowing enterprises to analyze structured and unstructured data using natural language while maintaining security and governance controls.

Q: What role does Accenture play?
A: Accenture provides the services and deployment layer, helping enterprises operationalize Claude through consulting, developer training, and industry-specific solutions.

Q: Who are these partnerships designed for?
A: Large enterprises, particularly those in regulated industries such as financial services, healthcare, life sciences, and the public sector.

Q: Why is governance a central focus?
A: Both partnerships emphasize operating AI within secure, trusted environments so organizations can move from pilots to production without compromising compliance or data privacy.

Q: When will enterprises see impact?
A: Both partnerships are already active, with customers processing trillions of Claude tokens monthly and Accenture beginning large-scale enterprise deployments.

These partnerships highlight how enterprise AI adoption is evolving beyond standalone models and pilot programs. Large organizations are increasingly prioritizing AI systems that integrate directly into existing data platforms, operate within established governance frameworks, and can be deployed at scale without introducing new security or compliance risks.

By embedding Claude directly into Snowflake’s AI Data Cloud, Anthropic is addressing where enterprise AI work actually happens: inside governed data environments that already power analytics, reporting, and decision-making. The parallel expansion with Accenture addresses a different—but equally critical—barrier: the operational challenge of deploying AI across large, complex organizations with diverse teams, legacy systems, and regulatory constraints.

Together, these partnerships reflect a broader shift in enterprise AI strategy. Success is no longer defined by access to advanced models alone, but by whether AI can be trusted, governed, and operationalized across the business. For enterprises evaluating AI investments, the focus is moving toward platforms and partners that reduce deployment risk while enabling real productivity gains in production environments.

Editor’s Note: This article was created by Alicia Shapiro, CMO of AiNews.com, with writing, image, and idea-generation support from ChatGPT, an AI assistant. However, the final perspective and editorial choices are solely Alicia Shapiro’s. Special thanks to ChatGPT for assistance with research and editorial support in crafting this article.