Anthropic and Accenture Team to Help Businesses Deploy AI

Anthropic has teamed with consulting firm Accenture to help companies scale artificial intelligence (AI) projects.

The collaboration, announced Tuesday (Dec. 9), has resulted in the Accenture Anthropic Business Group, which will provide training to around 30,000 professionals.

“Our new partnership means that tens of thousands of Accenture developers will be using Claude Code, making this our largest ever deployment—and the new Accenture Anthropic Business Group will help enterprise clients use our smartest AI models to make major productivity gains,” said Dario Amodei, CEO and co-founder of Anthropic.

In addition, the companies are launching an effort to help chief information officers (CIOs) scale AI powered software, with the goal of creating solutions for regulated industries such as financial services, life sciences, healthcare and the public sector.

Julie Sweet, Accenture’s CEO and chair, said the partnership is designed to help her company’s clients go beyond experimenting with AI.

“With the powerful combination of Anthropic’s Claude capabilities and Accenture’s AI expertise and industry and function domain knowledge, organizations can embed AI everywhere responsibly and at speed—from software development to customer experience—to drive innovation, unlock new sources of growth and build their confidence to lead in the age of AI,” Sweet said.

A report on the partnership by The Wall Street Journal notes that the new collaboration makes Accenture one of Anthropic’s three largest enterprise customers.

Speaking at the Dealbook Summit last week, Amodei said approximately 80% of Anthropic’s revenue comes from business customers who employ AI for high-intellect tasks like coding, document generation, technical research and compliance. He added that the newly released Claude Opus 4.5 was built with high-intellect workflows in mind.

Meanwhile, recent PYMNTS Intelligence research shows that adoption of agentic AI —technology that can produce results, carry out decisions and take actions on its own to reach predefined goals — is not adhering to a uniform adoption curve.

“For enterprises that spent the past decade weaving automation deep into their systems, agentic AI is the logical next step,” PYMNTS wrote last month. “For companies still operating with moderate or minimal automation, it is a leap they don’t yet know how to make.”

Companies already comfortable with automation are moving ahead, with more than 90% of product leaders leveraging outside vendors or consultants to help implement agentic AI rather than developing in-house solutions. However, others are holding back, not due to a lack of technology, “but because of readiness, culture and risk tolerance,” the report added.

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