Finance Case Study
Halberd Financial
A governance review that flagged compliance risks before a customer-facing AI launch.
-30%False Positives
The Challenge
Where things stood before
When Halberd Financial first reached out, manual review processes that were both slow and inconsistent was the issue sitting at the top of their list.
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 governance review that flagged compliance risks before a customer-facing AI launch, built specifically around what Halberd Financial needed.
- Delivered within a 7-week timeline without cutting scope
- Benchmarked against clear, agreed-upon success metrics from day one
- Built using Python and SQL for a stable, maintainable foundation
- Structured so Halberd Financial's own team could monitor and maintain it going forward
Results
The impact, by the numbers
-30%
False Positives
-20%
Review Time
+56%
Detection Accuracy
94.8%
Model Explainability Score
Tech Stack
Built with
PythonSQLJupyterdbt
Vantagepoint Software
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