Lead Qualification & Lifecycle Engine

Inbound membership requests arrived faster than anyone could vet them properly. Each one needed identity and fit checks, and doing that manually was slow, inconsistent, and easy to get wrong. At the same time, the customer lifecycle from trial to paid was managed by hand, so upgrades, downgrades, and churn were easy to miss.

We built an approval pipeline that scores every inbound lead using profile research, a photo-based identity check, an AI fit classifier, and a spam score, then routes only the uncertain cases to a human reviewer. On the paid side, it runs the full lifecycle from free trial to monthly to annual, detects churn, and grants or revokes access automatically whenever a tier changes.

A CRM should not just store contacts, it should make decisions. By combining several independent signals before approving anyone, and by automating every lifecycle transition, the pipeline behaves like a tireless sales and membership operator that keeps the funnel moving around the clock.

Clear-cut leads move through on their own and only genuine edge cases reach a person, so qualification stays fast and consistent. The lifecycle runs itself, keeping access, billing tier, and community standing in step without manual tracking.