AI agents in action: revolutionizing supply chain management

Real-world supply chain use cases showing how AI agents automate processes and enhance decisions.

In this webinar, we explored the rise of AI agents, how they differ from the first wave of copilots, and showcased real world AI agent use cases such as invoice processing, supply chain optimization, forecasting, and end to end workflow automation.

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!