AI lead generation replaces the static form with a conversation that captures the same information plus intent context, scores it, and delivers a structured record to the CRM with the transcript attached. The measurable difference is completion rate and record quality.
A form asks for information before it has given any value. A conversation gives an answer first, then asks — which is why conversational capture routinely collects more, and more accurate, information than the field set it replaces.
It also captures something forms cannot: what the person actually wanted, in their own words, attached to the record.
Most lead loss happens after capture. CaaS treats delivery as a monitored system: every write-back attempt is recorded with outcome and timestamp, failures raise alerts, and administrators can retry a specific lead rather than discovering the gap in a monthly report.
Automotive CRMs via ADF XML (including VinSolutions and DealerSocket), plus generic webhook and email delivery for other systems.
By intent signals, stated timeline and fit against the business's criteria, reported in bands so routing rules stay simple.
Yes — the admin delivery dashboard shows per-lead outcome, timestamp, payload and retry history.
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