What does a revenue system deliver?
Real numbers from real engagements. No vanity metrics, no inflated claims.
How an AI infrastructure company cut GTM costs by 95% and halved sales ramp time
95%
Reduction in GTM operational costs, from $10,500 to $467/mo
90 → 30 days
Sales ramp time cut by two-thirds
8 weeks
From engagement start to first pipeline
The Challenge
An AI infrastructure company was scaling fast. Their GTM operations weren't. SDRs were burning hours on manual research and qualification instead of selling. Pipeline attribution? Non-existent. Leadership couldn't tell the board which channels were actually driving revenue.
New hires were taking 90 days to ramp. The tool stack was fragmented, data lived in silos, and nothing talked to anything else. I've seen this exact pattern before. The tools weren't the problem. The missing infrastructure was.
The Solution
I ran a full Diagnose → Transfer engagement over 8 weeks. Built automated signal detection and enrichment pipelines, AI-powered lead qualification, structured CRM architecture with lifecycle automation, and end-to-end revenue attribution. One integrated system replacing a patchwork of disconnected tools.
Everything sits on open-source foundations. Full documentation, full team training. They run the whole system without me now. That was always the plan.
Key Outcomes
- 95% automation of signal-to-lead workflows
- Sales ramp time reduced from 90 to 30 days
- First pipeline generated within 8 weeks
- Complete revenue attribution across all channels
- Full system ownership transferred to client team
- Infrastructure scaled to handle 500+ leads/second
Want results like these?
It starts with a 30-minute discovery call. I'll ask about your GTM challenges and tell you what I'd do differently.