The Challenge
A $25M ARR SaaS company was struggling with lead quality. Their sales team was spending 60% of their time chasing leads that would never close.
- 10,000+ inbound leads per month from marketing
- No systematic way to prioritize which leads to call first
- 40% of deals pushed to next quarter (or never closed)
- Average sales cycle: 90 days
- Leadership wanted to implement AI but didn't know where to start
"We knew AI could help, but we didn't have the expertise in-house. We needed someone who understood both AI AND our sales process."
- Chief Revenue Officer
The Solution
Week 1-2: AI Readiness Assessment
- Analyzed 2 years of historical deal data (5,000+ closed deals)
- Identified 47 data points correlated with win/loss
- Mapped current data quality (discovered gaps in tracking)
- Built business case showing potential ROI
Week 3-4: Model Development
- Built initial ML model using historical data
- Tested 3 different algorithms (Random Forest performed best)
- Achieved 82% prediction accuracy in testing
- Created explainable scoring methodology
Week 5-6: Implementation & Training
- Integrated model directly into Salesforce
- Built dashboard showing high-priority leads
- Trained sales team on how to interpret scores
- Set up monitoring to track model performance
Want AI That Actually Works?
We'll assess your readiness, build a custom model, and integrate it into your existing workflow.
Explore AI ServicesThe Results
28%
Win Rate
Increase
From 18% to 23%
-25
Days Off
Sales Cycle
90 days → 67 days
2.4x
ROI in 3
Months
$600K added pipeline
Additional Outcomes:
- Sales reps now focus on leads 3X more likely to close
- Reduced time wasted on unqualified leads by 65%
- Model accuracy improved to 85% after 3 months of learning
- Team morale improved (less frustration with dead-end leads)
Ready to Implement AI in Your Sales Process?
From readiness assessment to custom models to full implementation - we handle the entire AI transformation.