B2B SaaS

CloudSync Technologies: $5M+ in pipeline and a 55% shorter sales cycle with AI SDRs

A B2B SaaS company quadrupled qualified lead volume and added $5M+ to pipeline by deploying AI SDRs for inbound qualification and meeting booking.

More qualified leads
55%
Faster sales cycle
$5M+
Pipeline value added
92%
Lead qualification accuracy

Background

CloudSync Technologies sells a mid-market data platform. Inbound lead volume was healthy, but a small SDR team was spending roughly 60% of their hours on unqualified leads, and median response time on inbounds had crept above three hours. Quota attainment on the sales team was dropping.

Approach

We deployed an AI SDR that qualifies every inbound lead against CloudSync's ICP in seconds, answers common pre-sales questions, and books qualified demos directly onto AE calendars. The SDR team was redeployed from qualification to discovery calls on pre-qualified pipeline.

Implementation

Four-week deployment: one week of ICP workshop, two weeks of build (HubSpot + Chili Piper + calendar integration), one week of shadow mode where the AI proposed qualification decisions that humans reviewed before full autonomy.

Outcome

In two quarters, CloudSync saw qualified lead volume up 4×, median first-touch time under 60 seconds, median sales cycle down 55%, and $5M+ in new pipeline directly attributable to AI-qualified meetings. Qualification accuracy (measured as SDR-manual-review agreement) landed at 92%.

Our sales team now spends time closing deals, not chasing dead ends. Revenue is up 65% year over year.

David Park, VP of Sales, CloudSync Technologies