Several enterprise AI companies have announced new products aimed at addressing governance and consistency challenges as businesses increasingly deploy AI agents across their operations.

Snowflake unveiled its Horizon Context and Cortex Sense platform at its San Francisco summit, designed to create shared definitions of business logic across different AI systems. The two-layer system addresses a growing problem where the same underlying data produces different answers depending on which AI agent or tool queries it. Christian Kleinerman, Snowflake's EVP of Product, noted that current tools often provide confident but potentially incorrect answers due to fragmented business logic across different systems.

Separately, procurement platform Zip announced five new AI "Superagents" and a Model Context Protocol implementation. The agents are designed to handle tasks like contract review, invoice processing, and vendor negotiations while maintaining compliance controls and audit trails. Zip CEO Rujul Zaparde emphasized that the system addresses a common enterprise concern where employees upload sensitive financial data to personal AI accounts, creating compliance risks.

The announcements reflect broader industry efforts to solve what analysts call the "context layer" problem in enterprise AI. IDC's Devin Pratt told industry publications that agents are only as trustworthy as the data and semantics behind them, making context layers a key battleground for enterprise AI adoption.

These developments come as enterprises rapidly adopt hybrid AI retrieval systems, with adoption rates reportedly tripling from 10.3% to 33.3% between January and March according to industry surveys. The race to provide governance solutions has intensified as companies like SAP and Coupa have also launched their own AI agent platforms.

Meanwhile, ZeroDrift raised $10 million for an AI compliance service that sits between AI models and end users to flag potentially problematic messages, highlighting growing investor interest in AI governance solutions as enterprise adoption accelerates.