How I Made 3 AI Agents Work Together for Smarter Reports!
In this hands-on tutorial, you’ll learn how to build a Regulatory Intelligence System powered by AI agents using CrewAI and Snowflake. Whether you're in fintech, compliance, or just exploring practical use cases of AI agents, this walkthrough is designed to help you go from zero to a full working pipeline—analyzing market news, querying SEC filings, and producing professional-grade regulatory reports.
What You'll Learn:
• How to design and deploy multi-agent workflows using CrewAI
• Query SEC filings via the Snowflake Marketplace
• Use Serper to analyze real-time web data
• Generate polished reports covering regulatory impact, portfolio company exposure, and market sentiment
Technologies Used:
🧩 CrewAI (multi-agent orchestration)
🧊 Snowflake (MCP + Cortex search)
🌐 Serper (web search API)
🐍 Python
Perfect for:
AI builders, fintech developers, compliance officers, data scientists, and anyone interested in LLM-powered agents and enterprise use cases.
Timestamps for Easy Navigation:
00:00 - Intro & What You’ll Build
00:27 - Final Report Overview (Regulatory Impact, Portfolio Highlights, Market Trends)
05:35 - System Architecture (3 AI Agents + Tools)
07:17 - Setup Instructions (Snowflake Access, APIs, .env, etc.)
15:55 - Running the System Live (Agent Execution & Flow)
17:35 - Output Review (Snowflake Results + Final Report Walkthrough)
📁 Code & Resources
👉 https://github.com/tonykipkemboi/crew...
Join this channel to get access to perks:
/ @tonykipkemboi
#CrewAI #Snowflake #AIAgents #RegulatoryTech #FintechAI #Python #LLM #AICompliance #MultiAgentSystems #SECfilings #SnowflakeCortex