Choosing Your Path: Comparing AI Agent Approaches for BI When our team decided to incorporate AI agents into our analytics workflow, we faced a confusing landscape of options. Should we use the AI features built into our existing BI platform? Build custom agents from scratch? Use a third-party service? After implementing all three approaches across different use cases, I've learned that the "best" choice depends heavily on your specific requirements, existing infrastructure, and team capabilities. The landscape of AI Agents in Business Intelligence has matured significantly, offering several distinct implementation paths. Each approach has tradeoffs in terms of customization, integration complexity, cost, and time to value. Let's break down the main options available to BI practitioners today. Approach 1: Platform-Native AI Features What It Is : Using AI agent capabilities built directly into your existing BI tools—think Microsoft Power BI's Copilot, Tableau's Ask Data, or Snowflake's AI-powered assistants.…