Anthropic has partnered with consulting firm Accenture to help companies scale their artificial intelligence (AI) projects.
The partnership, announced on Tuesday (December 9), will create the Accenture Anthropic Business Group, which will provide training to approximately 30,000 professionals.
“Our new partnership means tens of thousands of Accenture developers will be using Claude Code, making it the largest rollout in our company's history. Additionally, the new Accenture Anthropic Business Group will help enterprise clients use our smartest AI models to significantly improve productivity,” said Dario Amodei, CEO and co-founder of Anthropic.
Additionally, the companies are launching an initiative 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.
Accenture CEO and Chairman Julie Sweet said the partnership is designed to help Accenture's customers go beyond experimenting with AI.
“The powerful combination of Anthropic's Claude's capabilities and Accenture's AI expertise, industry and functional domain knowledge will enable organizations to responsibly and quickly embed AI everywhere from software development to customer experience, driving innovation, unlocking new sources of growth, and building confidence to lead in the AI era,” said Sweet.
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A Wall Street Journal report on the partnership said the new partnership makes Accenture one of Anthropic's three largest enterprise clients.
Speaking at last week's Dealbook Summit, Amodei said that about 80% of Anthropic's revenue comes from enterprise customers who employ AI for tasks that require high intelligence, such as coding, document generation, technical research and compliance. He added that the newly released Claude Opus 4.5 was built with advanced intelligence workflows in mind.
Meanwhile, a recent PYMNTS Intelligence study shows that the adoption of agent AI—technology that can generate results, make decisions, and independently take actions to achieve predefined goals—does not follow a uniform adoption curve.
“Agent AI is a logical next step for companies that have deeply embedded automation into their systems over the past decade,” PYMNTS wrote last month. “For companies that still have moderate or minimal automation, this is a leap they don't know how to make yet.”
Companies that are already comfortable with automation are doing so, with more than 90% of product leaders leveraging external vendors and consultants to help them implement agent AI rather than developing an in-house solution. But other companies are hesitant not because of a lack of technology, but “because of their readiness, culture and risk tolerance,” the report added.
