In this video, see how natural language RunBooks and pre built actions make it easy to connect securely to enterprise applications while using your choice of enterprise LLMs. Learn how teams build, deploy AI agents, and scale automation with confidence across the enterprise.

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!

We’ll cover extensions for applications like SAP, ServiceNow, and Workday, demonstrate how to add MCP servers, and show how standardized protocols make tools instantly accessible to any compatible agent. You’ll learn to create your own actions, understand their structure, and publish them to Sema4.ai Studio.