What this episode covers
A look at enterprise AI agents before and after ChatGPT, centered on analytics workflows, user trust, and the product lessons behind ThoughtSpot.
Key takeaways
- AI agents before ChatGPT
- Search-based analytics and LLM interfaces
- Trust in enterprise analytics
- Lessons for production AI products
Why it matters for AI engineering teams
The through-line is production discipline. Teams need clear ownership, evaluation loops, source-of-truth workflows, and deployment patterns before AI systems can move from impressive demos to reliable business processes.
Enterprise agents win when they reduce the distance between a business question and a trusted decision.