Enterprise Workflow Automation with Snowflake Intelligence

Business analysts tired of "can you pull the numbers on..." requests. Operations managers scanning dashboards every morning looking for problems. Finance teams manually matching invoices to purchase orders. Process owners answering the same policy questions while wondering if anyone actually follows the procedures.
If you spend more time coordinating between systems than doing meaningful work, this lab is for you.

Your data lives in Snowflake—but acting on it still means exporting to spreadsheets, copying between tools, and manually connecting the dots. Traditional automation moves data outside your governed environment. Custom solutions require engineering resources you don't have. And most AI tools can't access your actual business data.

You'll build agents that show what's possible when AI meets your governed data platform:
 

• An agent that takes action — Validates data, explains issues in plain English, and routes decisions to the right person. Not just automation—reasoning.
• An agent that investigates — Finds problems, assesses business impact, and prepares you to act—complete with context and recommendations.
• An agent that connects knowledge to data — Answers questions from your documents AND checks if reality matches policy. This is where BI meets AI.

What You'll Learn:
 

• Configure AI agents through natural language—describe what you want, not how to code it
• See how stored procedures become reusable tools that business users can orchestrate
• Know where Snowflake Intelligence fits in your automation stack

Attendees can expect hands-on work in Snowflake's UI. Configure real agents. Interact with natural language. Data models and tools are pre-built—your focus is on configuring and using, not writing SQL.

Walk away with a clear picture of how AI agents automate investigation, decision-making, and exception handling—while keeping your data governed and secure.