Generating $10M in annual value through AI-powered buyer intelligence automation for a $15B Enterprise Software Company.
Annual Value Created
$10.0M
Selling Hours Reclaimed
24,375+
Manual Effort Reduction
-90%
In the highly competitive enterprise software market, deep, personalized buyer engagement is critical to closing deals. However, for this $15B software leader, the commercial sales teams (BDRs, AEs, and Partners) were heavily bottlenecked by fragmented, manual research processes.
Through a detailed diagnostic, Condensed Matter identified that sellers were spending nearly 45 minutes manually gathering intelligence per account. Spread across 32,500 global accounts, this equated to an astronomical 24,375 hours of lost selling capacity annually—an immediate opportunity cost of $1.3M in raw payroll alone. More importantly, this operational drag resulted in generic messaging, stalled pipeline velocity, and an inability to scale personalized outreach.
We mapped the end-to-end sales lifecycle, moving the organization from a state of siloed data gathering to a cohesive, automated intelligence engine. We architected and deployed a proprietary AI-based research platform designed to actively synthesize targeted buyer data.
By integrating existing internal tech architecture with disparate, critical external data sources, the new AI solution autonomously generated highly contextualized "evidence packages." This completely removed the research burden from the commercial workforce, delivering instant, actionable insights directly into the hands of sellers and enabling true hyper-personalization at an enterprise scale.
"By automating our buyer intelligence gathering, we reclaimed over 24,000 hours of active selling time globally. The AI didn't just speed up research—it fundamentally transformed our pipeline velocity."
— Commercial Leadership, $15B Enterprise Software Co.
