Snowflake Helps Enterprises Deploy AI Agents with Trusted Business Context and Built-In Controls

Christian Kleinerman, EVP of Product, Snowflake

“For decades, governance gave organizations the confidence to make decisions with correctness, security and compliance. In the agentic era, governance is no different, it promotes trust and accelerates AI adoption”

Christian Kleinerman, EVP of Product, Snowflake

“The enterprises that win won't be the ones with the most agents. They'll be the ones whose agents know exactly what the business means by accessing the right data, abide by governance and guardrails specified, and can account for actions taken by agents. By extending Snowflake Horizon Catalog with Business Ontology and Cortex AI Gateway, context and governance stop being afterthoughts and become the foundation every agent is built on for the agentic enterprise.”

Joe Tobey, Head of Data Product Engineering, dentsu

“The value of a data product depends on everyone agreeing what each attribute means, whether it's a household income band or a B2B firmographic segment”

Joe Tobey, Head of Data Product Engineering, dentsu

“As agents become how people query that data, those definitions can't live in a static data dictionary. Business Ontology gives every definition an accountable owner, links it to the data that implements it, and makes it the answer every agent returns. As early product adopters, this is what lets us put agents in front of our data with confidence.””

Morten Lileng, Global Head of Engineering, dentsu

“Semantic drift is one of the most underestimated risks in multi-partner data environments — and at Merkle, dentsu's data and technology agency, we operate inside some of the most complex ones in the industry”

Morten Lileng, Global Head of Engineering, dentsu

“Snowflake's Business Ontology closes that gap at the infrastructure level, giving every definition an owner and every downstream system a single governed answer. That's what makes the clean room and RMN architectures we build at Merkle, on Snowflake, reliable enough to act on.”

Emrecan Dogan, Chief Product Officer, Glean

“Enterprise AI needs more than access to data. It needs an understanding of how people, information, and workflows connect across the business. At Glean, we bring that context together across enterprise systems to make AI agents more intelligent and effective”

Emrecan Dogan, Chief Product Officer, Glean

“As agents become more sophisticated and operate across more systems, that context must be matched with equally strong governance. Snowflake’s Cortex AI Gateway helps us extend visibility and control across AI interactions, supporting our ability to scale AI securely and responsibly.”

Andy Owens, VP of Data and AI, Kargo

“We run a lot of AI against a lot of data, and the question we couldn't answer was which teams and which agents were driving the spend”

Andy Owens, VP of Data and AI, Kargo

“Cortex AI Gateway gave us that breakdown, plus hard limits so a runaway process doesn't quietly burn through a budget. Routing each request to the right model means our routine work isn't running on our most expensive one. We're running more agents than ever and we know what each of them costs.”

Frank Petterson, Chief Product and Technology Officer, Uniphore

“Enterprises don’t just need more agents. They need to industrialize AI across the business. Snowflake gives our joint customers a governed data foundation”

Frank Petterson, Chief Product and Technology Officer, Uniphore

“Uniphore's zero-copy Data & AI Orchestration Platform gives the customer the ability to autonomously create the data ontology, fine-tune SLMs and build agents while data stays in-place, and governance carries through to every agent we deploy. Cortex AI Gateway keeps that model choice accountable as customers scale from a handful of use cases to dozens.””