AI can crunch the paid search numbers, but a human should own the Q4 budget call.

This is a quarterly reporting task with a consistent structure: pull metrics, segment by channel/creative/audience, flag underperformers, suggest reallocation. The same logic applies each quarter, making it highly automatable as a recurring workflow.

CPC, CVR, and ROAS calculations are crisp and well-defined. But 'underperform' and 'recommend reallocation' require thresholds and business priorities that aren't specified — the agent needs guardrails or it will make arbitrary judgment calls on what counts as bad enough to cut.

Google Ads, Facebook Ads, and LinkedIn all have APIs or exportable data, but connecting an agent to all three with proper auth, consistent attribution windows, and unified audience/creative taxonomy is non-trivial setup work. Without that plumbing already in place, the agent is blocked.

Analytical errors in the breakdown are recoverable — a human reviewer can catch a miscalculated ROAS before acting. But if flawed recommendations drive actual Q4 budget shifts, the cost is real and partially irreversible mid-quarter. Human sign-off before execution is essential.

The analysis layer is largely mechanical, but the reallocation recommendations require knowing Q4 business goals, competitive context, brand safety constraints, and whether past underperformance reflects a fixable creative issue vs. a dead audience. An agent will produce plausible-sounding recommendations that may miss the actual strategy.