Gist: The post argues that waiting to detect churn, lost deals, and demand spikes quietly drains 2–5% of annual revenue. It frames predictive AI as a way to recover that lost value before losses appear in standard reporting.
Signal reason: The post centers on a quantified revenue impact, citing 2–5% annual loss and $2.5M recoverable value.
