Fintech Case Study
Rimlight Financial
A retrieval system that grounded a generative AI feature in proprietary documents.
-20%False Positives
The Challenge
Where things stood before
Before working with us, Rimlight Financial was dealing with manual review processes that were both slow and inconsistent, and it was starting to cost them real business.
It was the kind of issue that showed up in day-to-day frustration long before it showed up in a report.
The Solution
What we built
Rather than jumping straight to a model, we spent time understanding the specific shape of the problem first.
From there, a retrieval system that grounded a generative AI feature in proprietary documents, built specifically around what Rimlight Financial needed.
- Benchmarked against clear, agreed-upon success metrics from day one
- Validated thoroughly before deployment to avoid production surprises
- Structured so Rimlight Financial's own team could monitor and maintain it going forward
- Designed around Rimlight Financial's actual data and workflow, not a generic template
Results
The impact, by the numbers
-20%
False Positives
-43%
Review Time
+52%
Detection Accuracy
98.0%
Model Explainability Score
Tech Stack
Built with
PineconeWeaviatePythonOpenAI Embeddings
Skyfield Retail Group
Want results like this for your business?
Let's talk about your project — no pressure, just a straightforward conversation about what you need.
Talk to an AI Expert