Snowflake launches Project SnowWork, eyes AI workflows

Snowflake said it is launching Project SnowWork, an autonomous enterprise AI platform that aims to automate work.

With Project SnowWork, which is in research preview, Snowflake is looking to orchestrate planning, analysis and execution for multi-step tasks grounded in enterprise data.

Simply put, Snowflake is looking to deliver outcomes and expand its footprint to business users. Project SnowWork includes prebuilt profiles with specialized skills for finance, sales, marketing and operations. Project SnowWork can also deliver forecast decks, churn reports and analyses for supply chains.

The effort illustrates how agentic AI will create new competitors among enterprise vendors that historically haven't competed. With a data platform, a vendor can expand into multiple areas with agentic AI.

Project SnowWork is looking to cut analyst backlogs and speed up decision cycles. CEO Sridhar Ramaswamy said Project SnowWork "looks to put secure, data-grounded AI agents on every desktop, so business leaders and operators can move from question to action instantly."

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What Snowflake's SnowWork effort highlights is that the company is looking to expand its total addressable market beyond its core data and AI platform. Snowflake argued that SnowWork is more than a productivity agent and can do the following:

• Plan and autonomously execute workflows across Snowflake data to deliver outputs.
• Generate analysis with recommended actions.
• Orchestrate data, AI and enterprise systems end to end securely.

The differentiator for SnowWork is that its AI agents are grounded in governed data and context. According to Snowflake, SnowWork will have pre-built persona-based skills that understand enterprise data, workflows and KPIs and be able to plan workflows. Security is built in because SnowWork is integrated with Snowflake's role-based access controls.