Cognizant, Google Cloud expand partnership to scale agentic AI
NEW JERSEY, UNITED STATES — Cognizant announced a new phase in its strategic partnership with Google Cloud, advancing from platform integration to enterprise-scale execution to help organizations operationalize agentic artificial intelligence (AI) in real-world environments.
Building on the recently announced partnership to adopt Gemini Enterprise, Cognizant is combining enterprise-wide internal deployment, commercial execution, and scaled delivery investments to turn the potential of agentic AI into measurable business outcomes.
“This partnership reinforces Cognizant’s position as an AI builder, a new kind of services partner focused on creating purpose-built, enterprise-grade solutions that drive real business outcomes,” notes Annadurai Elango, President, Core Technologies and Insights at Cognizant.
Driving AI productivity with Google Workspace & Gemini
As part of this next partnership phase, Cognizant has invested in and is deploying Google Workspace internally alongside Gemini Enterprise to enhance productivity, employee experience, and delivery velocity across the enterprise.
This internal execution demonstrates a commitment to validating the technology’s effectiveness before taking it to market.
Based on this in-house implementation, Cognizant will introduce a new productivity product that integrates Gemini Enterprise and Google Workspace to help customers replace manual, tedious tasks with automated workflows.
Some of the specific applications of this business solution include joint content development and supplier communications, as well as the direct translation of lessons learned from Cognizant’s internal application into practical client solutions.
“Cognizant brings together the optimal combination of people and technology, including proprietary IP and deep services expertise, to build industry-specific platforms, embed context into systems, and co-create agentic solutions tailored to each client’s business,” Elango explained.
Delivering enterprise-scale agentic AI solutions
To support scalable, repeatable delivery, Cognizant—a multi-year Google Cloud Data Partner of the Year award winner—is establishing a dedicated Gemini Enterprise Center of Excellence and investing in the capabilities needed to deploy agentic AI at enterprise scale consistently.
Cognizant will operationalize this delivery model through its Agent Development Lifecycle (ADLC), integrating AI directly into the development workflow from design and blueprinting through implementation, validation, and production rollout.
This structured approach ensures that client deployments follow a proven methodology rather than an ad hoc approach.
With tools such as Cognizant Ignition, enabled by Gemini, Cognizant helps accelerate the discovery, prototyping, and optimization of client data foundations.
Leveraging Cognizant Agent Foundry, Cognizant will help clients realize rapid value through no-code capabilities and pre-configured solutions for high-impact use cases such as AI-powered contact centers and intelligent order management.
With its global cadre of Gemini-trained specialists, Cognizant will continue to scale delivery across agentic coding initiatives and Google Distributed Cloud programs, with these capabilities showcased through Cognizant’s existing Google Experience Zones and GenAI Studios.
Together, Cognizant and Google Cloud are demonstrating a practical model for how enterprises can adopt agentic AI at scale, moving beyond platform selection to execution-ready operating models that deliver the clarity, governance, and measurable business impact enterprises seek from their AI investments.
Kevin Ichhpurani, President, Global Ecosystem and Channels at Google Cloud, concludes, “Together, we are enabling organizations to deploy enterprise-ready AI solutions that deliver real business impact.”
Cognizant ranked #7 in the OA500 2025, an objective index of the world’s top 500 outsourcing companies. The 2026 edition of the OA500 is expected to be released in March. (Read the OA500 2026 methodology paper here.)
