Snowflake unveils Project SnowWork
Snowflake announced Project SnowWork, an autonomous enterprise AI platform that runs multi-step workflows, offers role-based profiles (Finance, Sales) and enforces governed data access—built to speed role-specific outcomes inside the data platform. It reads like Snowflake pushing from data warehouse to policy‑aware AI orchestration for business teams. (x.com)
Snowflake announced Project SnowWork in a research preview on March 18, 2026, and said the preview will be available to a limited set of customers. (snowflake.com) Project SnowWork is surfaced on top of Snowflake’s existing AI stack and leverages Snowflake Cortex LLM functions that can be invoked from SQL and Python. (docs.snowflake.com) Snowflake’s coverage and demos name concrete outcome examples the platform is designed to produce—everything from board‑meeting presentations and pitch decks to demand-forecasting and supply‑chain bottleneck identification. (infoworld.com) Snowflake’s Cortex Agents documentation includes explicit guidance to “monitor, evaluate, and iterate” after deployment, and lists metrics and evaluation workflows for tracking agent performance and refining behavior. (docs.snowflake.com) To reinforce production reliability, Snowflake is moving to boost observability for AI workloads via a planned acquisition of Observe, which Snowflake and analysts frame as supporting AIOps and SRE for data+AI platforms. (infoworld.com) A technical integration example from an AWS blog shows Snowflake used with Amazon Nova/Bedrock and LangGraph for agent orchestration, illustrating a composable pattern enterprises can reuse for tool‑chain composition and external model hosting. (aws.amazon.com) Wall Street reaction included Barclays reiterating an Equalweight rating and a $192 price target on Snowflake following the Project SnowWork announcement. (streetinsider.com)
