SaaS Case Study
Kestrelworks Software
A POC that validated a generative AI use case before a larger investment.
+29%Feature Adoption
The Challenge
Where things stood before
When Kestrelworks Software first reached out, a product experience that couldn't personalize or scale the way the market expected was the issue sitting at the top of their list.
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.
What we ultimately delivered was a POC that validated a generative AI use case before a larger investment, built specifically around what Kestrelworks Software needed.
- Validated thoroughly before deployment to avoid production surprises
- Designed around Kestrelworks Software's actual data and workflow, not a generic template
- Benchmarked against clear, agreed-upon success metrics from day one
- Structured so Kestrelworks Software's own team could monitor and maintain it going forward
Results
The impact, by the numbers
+29%
Feature Adoption
99.7%
Model Accuracy
-24%
Support Tickets
99.9%
Uptime
Tech Stack
Built with
PythonPyTorchOpenAI APIJupyter
Lumenary Industries
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