Snowflake Unveils Project SnowWork to Automate Multi-Step AI Workflows
Snowflake has launched the research preview of Project SnowWork, an autonomous AI platform that executes multi-step business workflows—such as generating board-ready presentations, churn analysis spreadsheets, and supply chain optimizations—via conversational prompts. The platform leverages governed Snowflake data, built-in RBAC and persona-specific skills to drive secure, end-to-end task completion.
1. Research Preview Launch
Snowflake announced the research preview of Project SnowWork, a proactive, autonomous AI platform that enables business users to execute multi-step workflows via natural language prompts. The preview phase will allow enterprises to evaluate board-ready slide deck generation, churn risk spreadsheets and supply chain bottleneck analyses without writing code.
2. Core Capabilities
Project SnowWork delivers persona-specific AI profiles for roles such as finance, sales and operations, empowering users with pre-built skills tailored to common KPIs and terminology. It securely orchestrates data, AI and enterprise systems to plan, analyze and produce end-to-end outputs—completing tasks from data queries to executive presentations.
3. Enterprise Implications
By embedding AI as an execution layer on governed Snowflake data, Project SnowWork shifts the company’s data platform from insight provision to autonomous action. The platform’s built-in security, auditability and cross-cloud interoperability position Snowflake to accelerate AI adoption and expand revenue streams in the enterprise market.