Cognizant assigns more than 25,000 professionals to Claude delivery
Cognizant has formed a dedicated organization of more than 25,000 professionals to deliver Claude for enterprise clients and launched a managed services model for running Claude-powered systems in production. The company says the approach is designed to give clients one accountable partner, more predictable AI spending and enterprise-grade controls.
- Cognizant's Claude Frontier Capability Group includes more than 25,000 professionals.
- A managed services model will operate Claude-powered systems for clients in production.
- More than 44,000 Cognizant associates are trained or certified on Claude.
- The group will focus on AI-led redesign, modernization, secure agents and AI-native engineering.
- Cognizant reported client results including a 35% reduction in downtime at a pharmaceutical manufacturer.
A dedicated Claude delivery organization
The Claude Frontier Capability Group brings together more than 25,000 Cognizant professionals focused on execution, transformation and client success. The company says the group is intended to help enterprises move Claude from pilots into core operations, where AI systems must be built, deployed and operated inside existing businesses.
Cognizant said more than 44,000 associates across its business units and corporate functions are already trained or certified on Claude. It also said it holds more than 26,000 Claude certifications and ranks first globally for Claude Certified Architect: Foundations.
The group draws on Cognizant's Frontier workforce model, which includes Frontier Certified Engineers and Frontier Business Operators credentialed directly by frontier-model companies. Cognizant said it is deploying Claude across its workforce, including corporate functions, engineering and delivery teams, as announced in November 2025.
Managed services for Claude in production
Under the new managed services model, Cognizant will operate Claude-powered systems on behalf of clients after they enter production. The company combines dedicated talent, licensed access to Claude and its own intellectual property, including its AI Delivery Operating System.
Cognizant says the model is intended to make AI spending more predictable while keeping engagements within enterprise-grade security and governance controls. Those controls are customized to each client's connectivity, architecture and risk requirements. The arrangement allows clients to focus on the business results enabled by the systems while Cognizant takes responsibility for their operation.
“Clients want a partner who will take responsibility for delivery once AI is running inside their business,” Cognizant CEO Ravi Kumar S said in the announcement. “We are putting more than 25,000 of our people on Claude and taking on the job of running it for clients through managed services.”
Four areas of enterprise deployment
The group will initially focus on redesigning business domains around AI, building and modernizing supporting systems, operating agents securely at scale, and making AI-native software engineering a core delivery capability.
For modernization work, Cognizant is using purpose-built Claude agents to speed the analysis and refactoring of legacy and mainframe code. The company also described results from deployments for clients. At a global pharmaceutical manufacturer, Claude-powered shop-floor agents cut downtime by 35% and reduced troubleshooting time from 90, 120 minutes to 10, 15 minutes. For a media and entertainment company, Claude automated requirement data sheet creation, reducing time to market from 3, 4 weeks to about 15 minutes. At a North American insurer, Claude-powered automation accelerated campaign brief generation and retirement plan support by 40%, 60%.
Anthropic Chief Commercial Officer Paul Smith said Cognizant's commitment addresses the shortage of people with the skills to put AI to work inside businesses. For clients, the announcement offers a single provider for Claude delivery and ongoing production operations, with Cognizant's claims about spending predictability and controls applying to the managed services model.
