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Home/AI for Finance & Banking/Highmoor Technologies
SaaS Case Study

Highmoor Technologies

A credit risk model built with explainability requirements from the start.

+45%Feature Adoption
Highmoor Technologies digitallyscaled
ClientHighmoor Technologies
IndustrySaaS / Software
Timeline5 weeks
ServicesAI for Finance & Banking
The Challenge

Where things stood before

Highmoor Technologies came to us with a problem that had been building for a while: a product experience that couldn't personalize or scale the way the market expected.

It wasn't a small fix — the underlying approach needed to change, not just the surface.

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 credit risk model built with explainability requirements from the start, built specifically around what Highmoor Technologies needed.

  • Validated thoroughly before deployment to avoid production surprises
  • Benchmarked against clear, agreed-upon success metrics from day one
  • Delivered within a 5-week timeline without cutting scope
  • Designed around Highmoor Technologies's actual data and workflow, not a generic template
Results

The impact, by the numbers

+45%
Feature Adoption
96.1%
Model Accuracy
-42%
Support Tickets
90.5%
Uptime
Tech Stack

Built with

Pythonscikit-learnSQLMLflow

“I was skeptical this would actually work for us specifically. But +45% feature adoption within a few months, and the process to get there was more thoughtful than I expected.”

DE
Delphine Eastfield

CTO, Highmoor Technologies

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