A six-step AI diagnostic workflow with ready-to-use prompts that helps you pinpoint exactly what failed in your B2B funnel—and whether the issue is even where you assume it is. TL;DR: Before you run any AI diagnostic prompt, first eliminate tracking errors and normal seasonal fluctuations. A broken GA4 event or a misconfigured CRM form mapping can create the illusion of a funnel meltdown that isn’t actually happening. The problem you bring into the meeting is often not the true issue. An apparent drop in leads often turns out to be a conversion efficiency problem, downstream revenue compression, or a data quality glitch. The purpose of the diagnostic is to uncover the real anomaly, not to validate your initial hypothesis. A connected AI analyst like Databox Genie can run these prompts directly on your live data from 130+ sources—no CSV exports or analyst time required—turning a multi-hour manual investigation into a single structured conversation. Introduction Your Monday pipeline review starts like it always does: dashboard up, coffee in hand, quick pass over the weekly metrics. Something doesn’t look right. Maybe leads are down. Maybe pipeline is light. Maybe revenue is slipping behind plan and you don’t yet know why. Your CMO’s Slack is already waiting in your notifications: “What happened last week?” You’ve got a leadership sync in two hours. To diagnose a sudden funnel anomaly with AI, use a disciplined six-step prompt sequence: establish baseline volume trends with daily averages, assess top-of-funnel health, evaluate conversion efficiency, run a cross-source anomaly comparison, identify the trigger, and validate…