NEW YORK, March 4, 2026, 06:42 EST
- EY rolled out an AI-powered sales “orchestration” platform that’s built using Snowflake and Canva, designed to pull together data, automate workflows, and connect content in one place.
- Snowflake’s chief revenue officer isn’t looking for more dashboards—what sales teams need, he said, is “actionable intelligence.”
- Snowflake executives, speaking at a Morgan Stanley conference, said they’re pushing ahead with AI adoption—accepting slimmer initial margins in the process.
EY rolled out a new AI sales platform this week, leaning on tech from Snowflake Inc and Canva. That decision pushes the cloud data outfit further into front-line sales territory, leaving its traditional analytics role behind.
It’s relevant now: companies have ramped up purchases of AI tools for sales and marketing, yet most of these products remain isolated from each other. “Agentic” AI, meaning software agents capable of acting across different systems rather than just responding to prompts, is making the leap from demo stage into real workflows. Vendors are scrambling to position themselves as the connective layer.
Snowflake (SNOW.N) is angling to push data storage and analytics toward an applications platform model. Pricing hinges on usage—spikes in workloads can ramp up revenue fast. The flip side: customers may face steeper bills just as quickly.
EY has dubbed the product EY.ai Agentic for Sales, pitching it as an all-in-one platform that merges real-time data intelligence, AI-generated content, and controlled workflow automation. According to the firm, it’s up for pre-sales now and will begin rolling out in North America—starting internally at EY from March.
“Enterprise sales teams are not struggling because of a lack of AI,” said Duncan Avis, principal at EY Studio+, in the release. The real issue, Avis said, is scattered data and the jumble of tools. Snowflake’s Chief Revenue Officer Mike Gannon echoed that sentiment, adding that sales leaders “don’t need more dashboards.” Canva’s Mark Rupert pointed to a different challenge: buyers want clearer ways to see what solutions can actually do. EY
Snowflake’s leadership stuck to their narrative at this week’s investor event. Chief Executive Sridhar Ramaswamy, speaking at the Morgan Stanley Technology, Media & Telecom Conference, called agentic AI layered onto customer “data estates” the “string” tugging at demand. He also argued that coding agents could help cut the lengthy migrations that often bog down cloud transitions. CFO Brian Robins noted that fresh AI offerings come in with thinner gross margins — that’s profit after direct costs — but stressed that early traction matters most right now. Investing.com
Snowflake slipped roughly 2.7% ahead of the open Wednesday, changing hands at $165.79.
Christian Kleinerman, Snowflake’s executive vice president of product management, unloaded 10,000 shares at $165.01 apiece on March 2, according to a separate filing. The sale was executed through a Rule 10b5-1 plan, which lets insiders set up pre-scheduled trades.
Snowflake is jumping into a busy field with its latest sales effort. Microsoft and Salesforce are already out there pitching AI assistants for customer-facing teams, while data platforms like Snowflake and private competitor Databricks are both angling to make sure those assistants tap into their own data layers.
There’s a risk that “agentic” projects never move beyond pilot phases, or clients clamp down on how much they’re using as cloud budgets draw fresh scrutiny. Snowflake executives themselves have warned that early AI offerings come with slimmer margins—if adoption stumbles, defending that hit gets tougher.
Snowflake’s core business is selling cloud-based software for data storage and analytics, charging customers mostly by usage. Lately, the company’s been rolling out AI features that allow users to run data queries in plain English and automate certain tasks—an effort to drive more activity onto its platform by making things easier for clients.
