Build a Snowflake-powered AI analyst agent with Sema4.ai

In this tutorial, we walk step by step through the Cortex Analyst template in Sema4.ai Studio and show how snowflake cortex analyst converts conversational questions into SQL. Learn how to configure your agent, run real analysis, and get fast, structured insights directly from your data.

Enterprise AI agents have become the “killer app” of the AI era. In this webinar, we launched the Sema4.ai Enterprise AI Agent Platform. We introduced our platform and product lineup, provided an overview of each solution, and highlighted a compelling customer success story to showcase real-world impact and results. Watch the recording to learn more about how Sema4.ai is transforming the future of work.

This walkthrough explores all the key features that enable you to turn your ideas into production-ready agents using natural language runbooks and enterprise app integrations.

🚀 Sema4.ai Studio Key Features:

Natural language runbooks that define agents using plain English - no coding required

• Multiple LLM options (OpenAI, Azure, Bedrock, Snowflake Cortex)

• Pre-built connections to enterprise apps like HubSpot, SharePoint, and Google Workspace

• MCP (Model Context Protocol) integration for custom actions

• Dynamic Data Access and Knowledge Base capabilities for structured and unstructured data

• Real-time agent thinking and decision-making transparency

• Secure local-first development and one-click deployment to production

• 🔒 Built for Enterprise:

Every Sema4.ai agent is S.A.F.E. - Secure, Accurate, Fast, and Extensible. Build locally, deploy securely, and scale across your organization.

Ready to automate your knowledge work? Get started with Sema4.ai Studio today!