Accenture and Anthropic expand AI partnership to scale Claude across global enterprises

Accenture and Anthropic have announced a multi-year partnership that aims to help enterprises shift from small AI pilots to full-scale deployments. The move includes a dedicated Accenture Anthropic Business Group, fresh investment in AI talent, and new tools to help CIOs accelerate software development.

Announced on December 11, the partnership positions Anthropic as one of Accenture’s most strategic AI collaborators. About 30,000 Accenture professionals will be trained to work with Claude, Anthropic’s family of foundation models. These teams will support clients who want to build or scale AI systems without having to assemble internal expertise from scratch.

Julie Sweet, chair and CEO of Accenture, said the expansion will help enterprises “accelerate the shift from experimenting with AI to using it as a catalyst for reinvention across the enterprise.” She added that bringing together Anthropic’s model capabilities with Accenture’s industry knowledge can help organizations adopt AI “responsibly and at speed.”

Anthropic co-founder and CEO Dario Amodei said the scale of the collaboration marks the company’s largest enterprise deployment yet. “Tens of thousands of Accenture developers will be using Claude Code,” he said, noting that many organizations are looking for advanced AI systems combined with trusted guidance to adopt them effectively.

Claude Code heads to Accenture’s global developer community

One of the biggest steps in the partnership is the deep integration of Claude Code, Anthropic’s AI coding assistant. Accenture will make the tool available to tens of thousands of its developers. Many firms see coding assistants as one of the fastest routes to productivity gains, especially when teams face pressure to deliver new products quickly.

Anthropic said junior developers often write higher-quality code with Claude Code, reducing onboarding time, while senior engineers can focus on architecture, review, and oversight instead of repetitive tasks.

New offering to help CIOs measure AI’s real value

Accenture and Anthropic are also launching a product for CIOs who want to scale AI across engineering teams. The offering is built around three elements:

• A framework to track productivity gains and return on investment

• Workflow redesign to support AI-first development

• Training programs that keep teams aligned with rapid advances

The companies say this structure will give enterprises a predictable way to move from early tests to full adoption. Faster release cycles and shorter development timelines are among the benefits Accenture is pitching.

Solutions for highly regulated sectors

Regulated industries remain some of the most cautious adopters of AI because of compliance, safety, and data-handling rules. The partnership will focus early development on financial services, life sciences, healthcare, and the public sector.

In finance, the companies say Claude can process long regulatory documents and automate compliance checks. In health and life sciences, Accenture plans to pair Claude with its research expertise to help with experimental protocols and clinical trial workflows. For public-sector bodies, the partners are working on AI agents that guide citizens through complex services while maintaining privacy safeguards.

A shared focus on responsible AI

Both companies stressed that the collaboration is anchored in responsible AI practices. Anthropic’s constitutional AI framework will be combined with Accenture’s governance tools so global enterprises can test and validate systems before full deployment.

Accenture is bringing Claude into its Innovation Hubs worldwide, giving clients safe environments to prototype AI systems. The companies are also creating a Claude Center of Excellence inside Accenture to co-develop new enterprise offerings.

The partnership reflects the growing pressure on large organizations to show real results from their AI spending. With talent shortages and rising expectations from customers, many companies are now looking for pre-built expertise instead of building everything internally. This collaboration aims to deliver that at scale.