Raw lead and form submissions become CRM-ready records: normalized, classified, scored hot/warm/cold, with a staff summary and reply draft - then routed by a verification gate. Trustworthy leads auto-flow to the CRM; uncertain ones go to a human-review queue. An LLM can label a lead; the value is knowing which to auto-route and which a human must see first - unreachable hot leads and ambiguous spam get caught, not dropped. Runs fully offline (deterministic) or with OpenAI. Public code: github.com/jigonyoo/ai-intake-qualifier