How Velocity SaaS cut response time from 4 hours to 47 seconds
A fast-growing B2B SaaS company was losing 60% of inbound leads to slow follow-up. ScendCore’s AI employees now respond to every lead in under a minute, boosting qualified pipeline by 52%.
A scaling team drowning in inbound leads
Velocity SaaS sells project management software to mid-market companies. After a successful Product Hunt launch and a series of viral LinkedIn posts, their inbound lead volume tripled from 100 to 300+ leads per week. Their 12-person sales team couldn’t keep up.
The average response time to a new inbound lead was 4.2 hours. By then, most prospects had already engaged with a competitor. Internal analysis showed that leads contacted within 5 minutes were 21x more likely to qualify than those contacted after an hour.
The team tried to solve it with process: lead rotation rules, notification alerts, dedicated SDR shifts. Nothing worked consistently. Human bandwidth has a hard ceiling, and 300 leads per week — each needing research, personalisation, and follow-up — was beyond it.
AI employees handling initial engagement
Configured Revenue AI with Velocity’s ICP criteria, qualification questions, and email templates. Connected to HubSpot CRM and Cal.com for automated booking.
Research AI began automatically enriching every inbound lead with company data, tech stack, funding history, and decision-maker identification before human reps ever saw the lead.
Response time dropped to 47 seconds. Qualification rate increased 38% as AI consistently applied ICP criteria. Reps received pre-researched, pre-qualified leads with full context.
Qualified pipeline grew 52% QoQ. Rep productivity increased as they focused exclusively on high-value conversations. SDR headcount held flat despite 3x lead volume.
6 AI employees, one platform
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