Most analysts spend the bulk of their time on maintenance work. Fixing dashboards, fielding tickets, updating reports, maintaining data models. The actual insight work gets squeezed into whatever time is left. So I started automating it. I set up AI-assisted workflows that handle the repetitive parts of BI maintenance. The final goal is simple: make the infrastructure take care of itself so analysts can spend time on analysis that actually matters. Now as we're hiring more people, this approach is shaping how I think about the whole team. I don't want analysts spending their days maintaining dashboards. I want them doing the work that requires human judgment - interpreting data, presenting to executives, asking better questions. This talk walks through what I automated, how I did it, and what I learned about where AI genuinely saves analyst time versus where it just creates new problems. If your team is buried in maintenance work and struggling to get to the interesting stuff, this one's for you.