A lead queue that cooled before anyone called.
A B2B SaaS was generating more inbound than its SDR team could work. Leads from forms, ads, and chat sat in a queue for hours; by the time a rep called, the buyer had moved on. The bottleneck wasn't lead quality — it was latency.
They didn't want to hire a night shift. They wanted every inbound contacted, enriched, and qualified the moment it landed.
Intake, enrich, qualify — then route a warm call.
We replaced the tier-1 SDR queue with an autonomous qualification pipeline. An intake agent normalises every inbound source into one schema. An enrichment step appends firmographics and intent signals. A voice + WhatsApp agent reaches out in human-form speech, qualifies against the client's ICP, and books the call. Qualified leads route to a closer with the full transcript in context.
- One intake schema across form, ads, and live chat
- Voice and WhatsApp in the lead's own language, on their channel
- ICP scoring the client controls — thresholds tuned, not hard-coded
- CRM write-back with transcript, score, and the reason for every decision
"It contacts a lead faster than we could even read the form. The rep just gets a warm call already on the calendar."
How it fits together.
The win is latency under load. A human queue degrades the busier it gets; the pipeline holds the same sub-four-minute response whether one lead lands or a hundred.