Fintech Case Study
Vantageline Financial
A performance dashboard that gave leadership real visibility into model health.
-38%False Positives
The Challenge
Where things stood before
Vantageline Financial came to us with a problem that had been building for a while: manual review processes that were both slow and inconsistent.
The problem was quietly getting more expensive to ignore every month it went unaddressed.
The Solution
What we built
Rather than jumping straight to a model, we spent time understanding the specific shape of the problem first.
What we ultimately delivered was a performance dashboard that gave leadership real visibility into model health, built specifically around what Vantageline Financial needed.
- Validated thoroughly before deployment to avoid production surprises
- Designed around Vantageline Financial's actual data and workflow, not a generic template
- Delivered within a 10-week timeline without cutting scope
- Built using Grafana and Prometheus for a stable, maintainable foundation
Results
The impact, by the numbers
-38%
False Positives
-31%
Review Time
+44%
Detection Accuracy
95.9%
Model Explainability Score
Tech Stack
Built with
GrafanaPrometheusMLflowPython
Wildfield Retail Group
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