“Uber is extending its agentic AI efforts beyond software engineering by embedding AI-proficient engineers with experts across business functions. Its agentic pods pair roughly 30 engineers with domain experts for a two-week sprint: The team observes the work, identifies high-impact opportunities, builds an agent alongside the employee, validates it with other users, and ships it. Uber reports that, in two months, it ran 16 pods across 16 business functions, reducing capital allocation work across 150 cities from 15 hours to 30 minutes, financial pacing reports from two days to ten minutes, and marketing web quality assurance from two weeks to 50 minutes.”
