Cognizant and Google Cloud expanded their alliance on 19 October with a Gemini Frontier Capability Group backed by more than 18,000 Cognizant associates, building on a Gemini practice launched in April, Cognizant said.
Key points
- Cognizant says the group is intended to help enterprise clients move AI projects from pilots into production.
- Cognizant says the group will initially focus on legacy modernisation, developer experience, autonomous business process automation and cybersecurity.
- More than 55,000 associates completed a Gemini workshop, according to Cognizant.
- The company reports productivity, delivery-time and cost gains from one retailer’s use of Gemini.
April Gemini practice gains a dedicated group
The new group draws on a dedicated Gemini practice that Cognizant says it established in April 2026. The company describes the expansion as a joint investment with Google Cloud, bringing its engineering and industry work together with Google’s AI platform for enterprise clients.
Cognizant says the group is intended to help clients take AI agents beyond pilot projects and into production. Ravi Kumar S, Cognizant’s chief executive, said its dedicated engineers would “focus entirely on getting frontier AI into production for clients”. The company presents that work as the purpose of the group, rather than a completed deployment across its client base.
Thomas Kurian, Google Cloud’s chief executive, said large-scale deployment of AI agents requires partners with architectural and integration expertise. He said Cognizant’s group and its Gemini training programme would support adoption among the companies’ joint customers. The expanded alliance therefore combines a dedicated delivery workforce with training across a larger pool of Cognizant associates.
MCP and Model Armor anchor planned architecture
Cognizant says the group will initially work on modernising older software systems, improving the experience of developers, automating business processes and applying AI to cybersecurity. Those areas span both software development and the operational workflows that clients may seek to change with AI agents.
The group plans to use a standardised architecture built on the Model Context Protocol, or MCP, alongside Google Cloud’s Model Armor, according to Cognizant. The company expects that architecture to support a set of enterprise products, rather than describing those products as deployments already completed under the new group.
The planned products include Cognizant’s Catalog Support Agent for retail and a healthcare agent marketplace orchestrated by its Neuro San product. Cognizant also identifies multi-agent order-to-cash workflows for manufacturers. Each is an example of the work the group expects to pursue with Google Cloud technology.
For clients, the stated focus is on getting agents into day-to-day systems and processes. Cognizant’s account of the initiative places software integration and engineering alongside the Gemini models themselves, with the new group assigned to carry out that work for enterprise customers.
55,000 associates complete Build with Gemini
More than 55,000 Cognizant associates completed the Build with Gemini workshop run with Google Cloud, Cognizant said. Participants built AI agents and applications and earned Gemini skills credentials. The company calls it the largest single Gemini partner workshop held to date.
Cognizant says the training is part of its effort to expand the number of engineers certified to work with the platform. Kumar said the workshop gave associates direct experience with Gemini, while the new capability group gives dedicated staff a role working on client projects.
The company is also deploying Gemini for its own workforce. It said in July that it was rolling the technology out to 100,000 associates in 2026, and it plans to extend that figure to 200,000. That internal roll-out is separate from the more than 18,000 associates assigned to the new client-focused group.
Cognizant cites 40% retailer productivity gain
Cognizant cited a retailer’s software development work as an example of Gemini use with a client. It said it had integrated Gemini models across the retailer’s software development lifecycle, rather than limiting their use to a single stage of coding.
According to Cognizant, the retailer recorded a 40% increase in developer productivity, a 30% reduction in time-to-market and 35% cost savings. Those figures concern that client project. The company cited it as an early example of the engineering work it wants to expand through the Google Cloud alliance.
