Barclays is expanding its use of Claude across software development and banking operations.
Anthropic announced the expanded partnership Oct. 1. The bank expects Claude Code adoption to reach 50% of its developers by the end of 2026 and a majority in 2027, aiming to improve productivity and customer support.
For channel partners serving financial institutions, the rollout offers examples of where AI integration, security controls, and human oversight need to work together.
Craig Bright, group co-chief operating officer at Barclays, said in the announcement: “We’re moving towards AI as an increasingly agentic capability embedded within how we build, test, secure, and operate technology. At Barclays, we’re using Claude to help modernize legacy platforms, improve software quality, and allow our technical experts to focus on the most complex challenges.”
Bringing AI to banking
In early June, Barclays gave financial backing to CommonAI, a collaborative engineering platform designed to help early-stage startups, enterprises, and researchers access affordable AI infrastructure. The strategic investment from Barclays was to enable the organization to develop AI systems that can operate autonomously and safely in highly sensitive sectors like finance.
The expanded Anthropic partnership is another part of Barclays’ broader AI strategy.
The bank uses Claude for Global Markets email triage, employee knowledge retrieval, and software development.
Anthropic says Claude helps classify, enrich, and route approximately 120,000 emails daily in Barclays’ Global Markets business, reducing manual handling. The bank applies security controls and human oversight across its AI use cases, although the announcement does not specify that every email receives human review.
Barclays’ Colleague Knowledge Assistant also helps UK employees find information when supporting retail customers. According to Anthropic, the assistant has been live since 2025 and has handled more than one million searches.
What this means for channel partners
Barclays’ rollout gives systems integrators, consultants, and MSPs serving financial institutions examples of AI use cases to evaluate, including email triage, knowledge retrieval, and software development.
For partners, the practical work is connecting AI to existing systems, defining access permissions and human review requirements, and measuring whether it improves each workflow.
The announcement does not provide quantified productivity gains, cost savings, or error rates. Partners should establish those measures during pilots before using the deployment as evidence of likely returns for another customer.