In a strategic move to capture the burgeoning market for artificial intelligence in enterprise sales, professional services giant EY has unveiled a new AI sales orchestration platform. The product, named EY.ai Agentic for Sales, was developed in partnership with cloud data company Snowflake and design platform Canva. Announced this week, the platform is designed to integrate disparate data sources, automate sales workflows, and generate content, aiming to provide sales teams with a unified tool for actionable intelligence rather than isolated dashboards.
The launch signals a notable expansion for Snowflake beyond its core data storage and analytics offerings. By powering the backend of a frontline sales application, Snowflake is pushing further into an applications platform model. This shift aligns with the industry trend toward "agentic" AI, where software agents can perform actions across multiple systems autonomously. EY stated the platform is currently available for pre-sales and will begin its rollout in North America, starting with internal use at EY from March 2026.
At the Morgan Stanley Technology, Media & Telecom Conference this week, Snowflake's leadership doubled down on their AI narrative. Chief Executive Sridhar Ramaswamy described agentic AI layered on top of customer data estates as a key demand driver. He also suggested that AI coding agents could accelerate cloud migrations, a traditionally lengthy process. Chief Financial Officer Brian Robins acknowledged that the company's new AI products are launching with slimmer gross margins but stressed that securing early market traction is the current priority over profitability.
Snowflake's stock reacted negatively to the broader market sentiment ahead of the open on Wednesday, March 4, 2026, slipping approximately 2.7% to trade at $165.79. In a separate transaction, Christian Kleinerman, Snowflake's Executive Vice President of Product, sold 10,000 shares on March 2 at a price of $165.01 each. The sale was conducted under a pre-arranged Rule 10b5-1 trading plan, which is commonly used by corporate insiders to schedule stock sales in advance.
The company is entering a highly competitive arena. Tech giants like Microsoft and Salesforce are already marketing AI assistants for sales teams, while other data platforms, notably private rival Databricks, are also vying to become the essential data layer for these intelligent systems. The risk for Snowflake and others is that ambitious agentic AI projects may stall in pilot phases or face scaled-back usage as companies scrutinize cloud computing budgets more closely.
Snowflake's fundamental business model involves selling cloud-based data warehousing and analytics software, primarily on a consumption-based pricing structure. This model can lead to rapid revenue growth when customer usage spikes but also exposes clients to variable costs. Recently, the company has focused on embedding AI features, such as natural language querying and task automation, into its platform to make it more accessible and drive increased usage volume.
Industry commentary highlights the challenge this platform aims to solve. Duncan Avis, a principal at EY Studio+, noted in the release that enterprise sales teams' primary struggle is not a lack of AI tools, but fragmented data and a disjointed toolset. Snowflake's Chief Revenue Officer, Mike Gannon, echoed this, stating sales leaders need "actionable intelligence," not more dashboards. Canva's Mark Rupert pointed to the need for clearer demonstrations of what AI solutions can tangibly accomplish for buyers.
The broader context is a market increasingly purchasing AI tools for sales and marketing functions, yet often dealing with solutions that operate in silos. Snowflake's partnership with EY represents a concerted effort to position itself as the critical connective layer in this ecosystem, betting that the long-term value of widespread AI adoption will outweigh the near-term pressure on margins.
