Fintech Case Study
Northwind Financial
A caching layer that cut AI API costs significantly without hurting quality.
-27%False Positives
The Challenge
Where things stood before
Northwind Financial's biggest obstacle was manual review processes that were both slow and inconsistent — something their team had tried to patch more than once without lasting success.
The problem was quietly getting more expensive to ignore every month it went unaddressed.
The Solution
What we built
We started by getting a clear picture of exactly where things were breaking down before proposing anything.
What we ultimately delivered was a caching layer that cut AI API costs significantly without hurting quality, built specifically around what Northwind Financial needed.
- Validated thoroughly before deployment to avoid production surprises
- Designed around Northwind Financial's actual data and workflow, not a generic template
- Benchmarked against clear, agreed-upon success metrics from day one
- Structured so Northwind Financial's own team could monitor and maintain it going forward
Results
The impact, by the numbers
-27%
False Positives
-34%
Review Time
+28%
Detection Accuracy
90.7%
Model Explainability Score
Tech Stack
Built with
OpenAI APIAnthropic APINode.jsRedis
Outerline Retail Group
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