• Project SnowWork is an autonomous enterprise AI platform that helps business users accelerate everyday work
• Launching in research preview to a limited set of customers, Project SnowWork handles complex, multi-step tasks and delivers data-driven outcomes to business users
• Project SnowWork brings Snowflake’s vision for the agentic enterprise to life, where enterprise data, intelligence, and action are connected in a governed way
Snowflake recently revealed 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 enables individuals and teams across the business to simply ask for what they need and have Project SnowWork securely complete 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.
Sridhar Ramaswamy, Chief Executive Officer, Snowflake, comments:
“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.”
SnowWork capitalises on a shift of using AI to drive decisions and action, and the shift requires enterprises to connect intelligence, applications, and enterprise data and context into a trusted foundation that can continuously coordinate action at scale.
Project SnowWork can:
- Plan and autonomously execute simple or complex multi-step workflows across governed Snowflake data to deliver finished outputs — from reprioritising sales territories to executive-ready presentations.
- Generate analysis with recommended actions, turning insights into prioritised 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.
- Deliver Pre-Built, Persona-Specific Skills: Provides pre-configured, role-aware AI “profiles” for departments such as finance, sales, marketing, operations, and understand common business workflows, terminology, and KPIs, accelerating time-to-value.
- Deliver Multi-Step Task Completion: autonomously plan and complete complex workflows such as querying data, applying analysis, synthesizing insights, generating structured deliverables, and preparing next steps within a single interaction, thus compressing reporting cycles and eliminating manual coordination across systems.
- Automatically enforce Snowflake’s role-based access controls (RBAC), masking policies, audit logging, and data governance rules.
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.
Sanjeev Mohan, Principal at SanjMo, comments:
“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.”
Project SnowWork allows business users to move from intent to actions and outcomes without filing tickets with data teams or searching for static dashboards. For example, Sales Operations teams can now automate repetitive reporting, work across multiple data sources without coding, and generate presentation-ready deliverables in minutes instead of days.
