Snowflake Launches Project SnowWork to Automate Enterprise Workflows

Snowflake  has unveiled a research preview of Project SnowWork, a new autonomous enterprise AI platform designed to help organizations accelerate workflows and translate insights into action. Positioned as a proactive AI partner, the platform enables business users to request tasks conversationally, with the system securely executing multi-step processes from start to finish.

Project SnowWork is built to handle a wide range of enterprise use cases, from generating board-ready presentations and analyzing customer churn to identifying supply chain inefficiencies. By automating both simple and complex workflows, the platform aims to streamline operations and improve decision-making across business functions.

“We are entering the era of the agentic enterprise, ushering in a fundamentally new way to work. This shift is about much more than technology, it’s about unlocking new levels of productivity and efficiency by embedding intelligence directly into the operating fabric of the enterprise. Project SnowWork looks to put secure, data-grounded AI agents on every surface, so business leaders and operators can move from question to action instantly. By elevating AI from experimentation to enterprise-grade autonomous execution, Project SnowWork serves as the secure foundation for how modern enterprises will get work done in the AI era.”

– Sridhar Ramaswamy, Chief Executive Officer, Snowflake

The launch reflects a broader shift toward what Snowflake describes as the “agentic enterprise,” where AI is not only used to generate insights but also to drive decisions and execute tasks. This evolution requires integrating enterprise data, applications, and intelligence into a unified and trusted system capable of coordinating actions at scale.

Project SnowWork delivers this through an outcome-focused desktop interface that brings Snowflake’s data and AI capabilities directly to business users. The platform can autonomously plan and execute workflows, generate analysis with recommended actions, and orchestrate enterprise systems to complete tasks end-to-end, helping reduce operational bottlenecks and accelerate business outcomes.

Unlike general-purpose AI tools, Project SnowWork operates on a governed enterprise data foundation, incorporating shared business definitions, cross-cloud interoperability, and built-in security controls. It also features role-specific AI profiles tailored to departments such as finance, sales, marketing, and operations, enabling faster adoption and more relevant outputs.

“Enterprises have invested heavily in data platforms and AI, yet the last mile of translating governed data into everyday business outcomes remains largely manual. Project SnowWork represents a meaningful shift from AI as an analytical tool to AI as an execution layer embedded directly into enterprise workflows. By grounding autonomous task execution in trusted, governed Snowflake data, shared business definitions, and cross-cloud and cross-domain interoperability, the company is extending its platform from a system of insight to a system of action, which is where measurable business value is ultimately realized.”

– Sanjeev Mohan, Principal, SanjMo

The platform is designed to close the gap between AI’s potential and real-world business impact by embedding intelligence directly into everyday workflows. It allows employees to move from intent to execution without relying on technical teams or static dashboards, significantly reducing the time required to generate insights and deliver results.

Project SnowWork builds on Snowflake’s broader enterprise AI ecosystem, complementing tools like Snowflake Intelligence and Cortex Code. Together, these solutions aim to enable organizations to harness AI securely on governed data, accelerating development, decision-making, and operational efficiency in the emerging AI-driven enterprise landscape.