Dive Brief:
- IT services company Infosys is partnering with AI model developer Anthropic to build AI agents tailored to regulated industries, including financial services, telecommunications, manufacturing and software development, the two companies announced Tuesday.
- The financial services agents will help companies detect and assess risk, automate compliance reporting and personalize customer interactions. The partnership aims to build agents that handle multistep tasks — such as processing claims — independently.
- The collaboration will integrate Anthropic’s Claude models and Claude Code with Infosys Topaz, an agentic AI platform. Infosys developers are already using Claude Code to “create AI agents for industries that demand precision, compliance, and deep domain knowledge,” Dario Amodei, CEO and co-founder of Anthropic, said in a press release.
Dive Insight:
Vendors are stepping up in force to build tailored AI agents that can operate in regulated industries, particularly financial services.
Anthropic’s partnership with Infosys also shows how vendors are moving away from broad AI models and agents to industry-specific offerings that focus on governance and transparency.
There’s a “big gap between an AI model that works in a demo and one that works in a regulated industry,” which is why the AI model provider turned to Infosys for its domain expertise, Amodei said.
Other vendors are also building AI agents for financial services.
Creatio, an AI platform provider, recently launched six AI agents for banking that target operational efficiency and revenue generation. Amazon’s mortgage approval agents and Salesforce’s Agentforce for Financial Services also mark vendor moves to build industry-tailored agents.
Meanwhile, large banks are exploring and building agents to assist employees and automate workflow processes. BNY enables employees to build AI agents through its internal platform Eliza, powered by OpenAI models. Capital One, Morgan Stanley and JPMorgan Chase are also engaged in building foundations to support agentic workflows.
AI adoption is anticipated to reduce net costs for banks by up to 20%, but cost reductions depend heavily on the industry’s ability to adopt agentic AI, according to McKinsey & Company’s Global Banking Annual Review 2025.
“AI is not just transforming business, it is redefining the way industries operate and innovate,” Infosys CEO Salil Parekh said in the press release.