AI is commonly strong at pulling data from multiple platforms — Meta, Google, CRM, email — into a single narrative summary, flagging anomalies, and drafting the commentary a marketer would otherwise write manually each week. It typically doesn't replace the underlying data pipeline; it sits on top of clean, connected data and speeds up the interpretation and write-up.
The bottleneck is almost always data hygiene, not the AI layer — messy UTMs, disconnected tools, or inconsistent naming will produce a confidently wrong summary just as fast as a correct one. Fix tracking and naming conventions first, then layer AI reporting on top.