Enterprise AI agent use case demo: receivables matching

Learn how enterprise AI agents are transforming remittance matching by automating complex, data-heavy workflows with speed and accuracy. In this video, you’ll see how organizations are using AI agents to match customer payments at scale, reduce manual effort, and free finance teams to focus on higher-value work. Discover what it takes to move from partial automation to production-ready agents delivering real operational impact.

See how creating an AI agent goes from a natural language conversation to a deployed enterprise grade agent with Snowflake integration and visualization capabilities. This video shows the end to end process of turning business intent into an AI agent that securely accesses data, executes workflows, and delivers real outcomes.

In this step-by-step tutorial, learn how to create an intelligent agent that not only analyzes your Snowflake data but also takes real action based on its findings. 

We'll build a complete call center data agent using Sema4.ai Studio and Snowflake Cortex Analyst. The same principles work for financial reporting, marketing automation, operational monitoring, or any workflow where you need AI agents that perform actual work based on data insights.

What You'll Learn:

✅ Create semantic models in Snowflake for natural language queries

✅ Build an AI agent that understands your business context

✅ Connect multiple tools: Snowflake, Google Docs, and Gmail

✅ Automate data analysis and reporting workflows

✅ Make your agent take action, not just provide answers

Perfect for:

Data analysts who want to automate reporting

Business teams needing self-service analytics

Developers building AI-powered workflows

Anyone tired of writing complex SQL queries

To follow this tutorial, you need:

Sema4.ai Studio

Snowflake (Cortex Analyst)

(Optional) Google Docs & Google Mail ( you can use any actions or your own MCPs)

Useful Links

Google OAuth Setup: https://sema4.ai/docs/build-agents/pr... 

Getting started with Team Edition: https://sema4.ai/docs/team-edition

What will you build next? Drop your ideas in the comments!