Snowflake has announced the research preview of Project SnowWork, a new autonomous enterprise AI platform designed to help business users accelerate workflows. Acting as a proactive AI partner, Project SnowWork empowers individuals and teams across the business to simply ask and resolve multi-step tasks based on conversational prompts.
Whether it’s building a board-ready forecast slide deck, creating a spreadsheet that identifies churn risks, or uncovering supply chain bottlenecks, Project SnowWork autonomously executes simple or complex workflows end-to-end to drive action.
“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,” said Sridhar Ramaswamy, Chief Executive Officer, Snowflake.
“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.”
The rise of the agentic enterprise is not just about answering questions with AI, rather, it’s a shift to using AI to drive decisions and action. This future will require enterprises to connect intelligence, applications, and enterprise data and context into a trusted foundation that can continuously coordinate action at scale.
Project SnowWork makes this possible by bringing Snowflake’s enterprise data platform and AI capabilities directly to business users through a simple, outcome-driven desktop experience.
More than a productivity agent, Project SnowWork can:
- Plan and autonomously execute simple or complex multi-step workflows across governed Snowflake data to deliver finished outputs — from reprioritizing sales territories to executive-ready presentations.
- Generate analysis with recommended actions, turning insights into prioritized next steps tailored to each business role.
- Securely orchestrate data, AI, and enterprise systems to complete tasks end-to-end, reducing backlogs and accelerating decisions.
Project SnowWork is built on a single enterprise-wide source of truth with governed metrics, shared business definitions, cross-cloud interoperability, and built-in security and auditability.
Key capabilities Project SnowWork delivers:
- Pre-Built, Persona-Specific Skills: Provides pre-configured, role-aware AI “profiles” for finance, sales, marketing, operations, and more that understand common business workflows, terminology, and KPIs, accelerating time-to-value.
- Multi-Step Task Completion: Enables the AI platform to autonomously plan and complete complex workflows — querying data, applying analysis, synthesizing insights, generating structured deliverables, and preparing next steps within a single interaction — compressing reporting cycles and eliminating manual coordination across systems.
- Built-In Security and Access Controls: Automatically enforces Snowflake’s role-based access controls (RBAC), masking policies, audit logging, and data governance rules — ensuring AI actions operate within the same trusted perimeter as enterprise data.
“Enterprises have invested heavily in data platforms and AI, yet the last mile of translating governed data into everyday business outcomes remains largely manual,” said Sanjeev Mohan, Principal at SanjMo. “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.”
