ai-intake-qualifier - scored leads with a review queue

Raw form submissions become normalized, scored, CRM-ready leads - while uncertain or unreachable cases stop in a human-review queue instead of being auto-routed.

The problem. A high lead score is useless if nobody can reach the lead. Automated intake often stops after classification, so an urgent inquiry with a broken email is silently dropped or misfiled.

Committed run: 10 synthetic leads - 6 auto-routed, 4 held for review.

One warm lead scoring 53/100 with clearly urgent intent was held back because its email was malformed and no phone number was given. Overall confidence 0.568, below the auto-route trust threshold. The promising lead is surfaced for contact repair rather than discarded.

Contact validity, ambiguity and review routing are made explicit, so the queue is a feature rather than an exception path.

Code: github.com/jigonyoo/ai-intake-qualifier