How AI agents could make business intelligence more question-driven

Reflecting on a Rippling case study video, a viewer argues that AI agents could shift business intelligence toward answering questions as they arrive, rather than relying on tables and dashboards built in anticipation. The viewer says Rippling’s data team still manually inspects agent queries and creates rollup tables when patterns emerge. They also speculate that queries leading to useful business actions may matter more to semantic-layer tools than query history alone.