Cognizant and Snowflake have increased their collaboration to allow businesses to quickly implement AI-powered intelligent agents. They are utilizing Snowflake’s CoCo platform to integrate AI technology, which is ready for production, into business operations. The new partnership was made public at the Snowflake Summit 2026 and one of its main objectives is to help companies go past simply experimenting with AI and implement large-scale AI solutions across data engineering, analytics, and decision-making workflows.
Even though companies are using Artificial Intelligence they still encounter problems like data silos, outdated technologies, and the difficulty of integrating AI into daily activities. Cognizant is planning to solve these problems via its AI Builder approach, which merges state-of-the-art AI technologies, knowledge of different industries, and design centered on the user’s experience to help businesses see tangible results in a short period of time.
“When the data foundation is AI-ready and business context is built in, build cycles collapse,” said Naveen Sharma, Senior Vice President and Practice Head, AI & Analytics at Cognizant. “That is exactly what Cognizant’s AI Builder approach delivers, and with Snowflake CoCo, we are putting production-grade AI into enterprise workflows in hours, not weeks.”
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The collaboration has already demonstrated significant momentum within Cognizant’s AI and Analytics practice. The CoCo platform has been adopted by more than 2,250 users across internal teams and client environments, supporting over 30 enterprise use cases. Cognizant has also developed numerous custom CoCo capabilities and AI accelerators that have collectively powered more than 1.3 million AI-driven requests.
A great example of this is A+E Global Media, where Cognizant put in a conversational analytics agent driven by Snowflake CoCo. This tech took care of reporting and data analysis jobs that used to be done manually. Now, business folks can query complex data sets using normal language. As a result, tons of time was saved, and it made ops more efficient and helped with better decision-making throughout important divisions.
Beyond just analytics, Cognizant is now pushing CoCo-powered solutions into other areas like contract smarts, compliance automation, finance ops, and anomaly detection. Companies see huge drops in manual work, major cost savings, and swifter process times thanks to these efforts.
Cognizant and Snowflake keep pouring money into special AI skills for different industries, plus prebuilt agent templates and orchestration abilities. Their goal? To give companies a way to easily deploy agentic AI and turn data into real business insights.