Project SnowWork brings agentic intelligence directly to business users\u2019 desktops to accelerate productivity and get work done faster
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Designed to orchestrate planning, analysis, and execution, Project SnowWork is an autonomous enterprise AI platform that helps business users accelerate everyday work<\/p>\n
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Launching in research preview to a limited set of customers, Project SnowWork handles complex, multi-step tasks and delivers real, data-driven outcomes to business users<\/p>\n
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Project SnowWork brings Snowflake’s vision for the agentic enterprise to life, where enterprise data, intelligence, and action are connected in a governed way<\/p>\n
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MENLO PARK, Calif. \u2013 March 18, 2026 \u2013 Snowflake<\/a> (NYSE: SNOW), the AI Data Cloud company, today announced the research preview of Project SnowWork<\/a>, a new autonomous enterprise AI platform designed to help business users massively accelerate workflows. Acting as a proactive AI partner, Project SnowWork empowers 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.<\/p>\n Whether it\u2019s 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.<\/p>\n
<\/p>\n \u201cWe 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\u2019s about unlocking new levels of productivity and efficiency by embedding intelligence directly into the operating fabric of the enterprise,\u201d said Sridhar Ramaswamy, Chief Executive Officer, Snowflake. \u201cProject 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.\u201d<\/p>\n
<\/p>\n The rise of the agentic enterprise is not just about answering questions with AI, rather, it\u2019s 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.<\/p>\n
<\/p>\n Project SnowWork makes this possible by bringing Snowflake\u2019s 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:<\/p>\n
Generate analysis with recommended actions, turning insights into prioritized next steps tailored to each business role.<\/p>\n
Securely orchestrate data, AI, and enterprise systems to complete tasks end-to-end, reducing backlogs and accelerating decisions.<\/p>\n
Unlike general-purpose AI agents, 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.<\/p>\n
<\/p>\n Key capabilities Project SnowWork delivers:<\/p>\n
Multi-Step Task Completion: Enables the AI platform to autonomously plan and complete complex workflows \u2014 querying data, applying analysis, synthesizing insights, generating structured deliverables, and preparing next steps within a single interaction \u2014 compressing reporting cycles and eliminating manual coordination across systems.<\/p>\n
Built-In Security and Access Controls: Automatically enforces Snowflake\u2019s role-based access controls (RBAC), masking policies, audit logging, and data governance rules \u2014 ensuring AI actions operate within the same trusted perimeter as enterprise data.<\/p>\n
\u201cEnterprises have invested heavily in data platforms and AI, yet the last mile of translating governed data into everyday business outcomes remains largely manual,\u201d said Sanjeev Mohan, Principal at SanjMo. \u201cProject 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.\u201d<\/p>\n
<\/p>\n AI Built for Action, Not Just Insights\u00a0
<\/p>\n The result is a widening gap between AI\u2019s potential and its real business impact. Project SnowWork closes that gap by securely embedding AI into the flow of work, enabling every employee to operate with the speed, precision, and insight once reserved for data specialists.<\/p>\n
<\/p>\n It 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.\u00a0<\/p>\n
<\/p>\n Advancing Snowflake\u2019s Enterprise AI Architecture
<\/p>\n For business users, Snowflake Intelligence<\/a> is the enterprise intelligence agent built to turn all the knowledge within an organization into trusted business insights. It enables every employee to ask complex questions in natural language and move beyond the \u201cwhat\u201d to uncover the critical \u201cwhy.\u201d Grounded in governed enterprise data and shared business context, it delivers transparent, verifiable answers inside Snowflake\u2019s secure perimeter. Project SnowWork extends this idea by helping teams act on those insights and execute multi-step workflows directly on top of trusted Snowflake data.<\/p>\n
<\/p>\n For builders that want to turn complex data engineering, analytics, machine learning, and agent-building tasks into simple, informed interactions, Cortex Code<\/a> is a data-native AI coding agent that automates and accelerates end-to-end enterprise development. It generates production-ready code, orchestrates workflows, and enforces best practices, enabling teams to move from prototype to deployment with speed and confidence.
<\/p>\n Learn More:\u00a0<\/p>\n
Read about Snowflake CEO, Sridhar Ramaswamy\u2019s vision for the agentic enterprise in this blog post<\/a>.<\/p>\n
Learn more about how Project SnowWork is automating work for business users in this blog post<\/a>.\u00a0<\/p>\n
Stay on top of the latest news and announcements from Snowflake on LinkedIn<\/a> and X<\/a>.<\/p>\n
Forward Looking Statements \u00a9 2026 Snowflake Inc.\u00a0 All rights reserved.\u00a0 Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries.\u00a0 All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s).\u00a0 Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).
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\nPlan and autonomously execute simple or complex multi-step workflows across governed Snowflake data to deliver finished outputs \u2014 from reprioritizing sales territories to executive-ready presentations.
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\nPre-Built, Persona-Specific Skills: Provides pre-configured, role-aware AI \u201cprofiles\u201d for finance, sales, marketing, operations, and more that understand common business workflows, terminology, and KPIs, accelerating time-to-value.
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\n Organizations have invested heavily in modern data platforms and AI, yet most business users still rely on analysts, static dashboards, and siloed systems to answer basic questions. Today\u2019s AI tools often require technical expertise and lack the enterprise data foundation needed to deliver trusted, actionable outcomes.<\/p>\n
\n Snowflake\u2019s portfolio of AI products enables every employee to use AI on trusted, governed data so organizations can embrace the agentic enterprise where intelligence drives secure, data-driven action across the business.<\/p>\n
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\nThis press release contains express and implied forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding (i) Snowflake\u2019s business strategy, plans, opportunities, or priorities (ii) the release, adoption, and use of Snowflake\u2019s new or enhanced products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, (iv) Snowflake\u2019s vision, strategy, and expected benefits relating to artificial intelligence and other emerging product areas, including the expected benefits and network effects of the AI Data Cloud, and (v) the integration, interoperability, and availability of Snowflake\u2019s products, services, and technology offerings with and on third-party platforms. Other than statements of historical fact, all statements contained in this press release are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading \u201cRisk Factors\u201d and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements.\u00a0 As a result, you should not rely on any forward-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are made and are based on information available to Snowflake at the time those statements are made and\/or Snowflake management’s good faith belief as of that time with respect to future events. Except as required by law, Snowflake undertakes no obligation, and does not intend, to update these forward-looking statements to reflect events that occur or circumstances that exist after the date on which they were made.<\/p>\n
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