Full case study available in English below.
Overview
A Series A B2B SaaS company with a 6-person sales team was spending over 40% of their time manually qualifying inbound leads. Deal cycle times were long, pipeline was murky, and the cost per acquisition was climbing.
Details
- Industry
- Software / Sales Automation
- Client
- Confidential — B2B SaaS, Series A
- Timeframe
- 90 Days
The Challenge
Their CRM was full of leads, but no system existed to score, prioritize, or route them automatically. Sales reps were spending hours on unqualified calls. Marketing was generating volume — sales couldn't process it fast enough.
Our Approach
- 01
Built a custom AI lead qualification agent integrated directly with HubSpot
- 02
Trained the model on 18 months of historical closed/won data to learn what a real buyer looks like
- 03
Implemented automated 2-minute lead scoring with multi-signal enrichment (LinkedIn, company data, intent signals)
- 04
Built routing logic to instantly assign hot leads to senior AEs, warm leads to SDRs, and cold leads to nurture sequences
- 05
Deployed 24/7 AI-powered first-touch outreach for new inbound leads
Results
Qualified Leads
Reduction in Sales Cycle
Pipeline Value in 90 Days
“We went from drowning in leads to actually closing them. The AI agent does in 90 seconds what used to take my team half a day. This wasn't a nice-to-have — it became mission critical.”
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