Insights — Prism Layer

Apr 3, 2026 7 min read

The gap between AI hype and operational reality in lending has never been wider. Here is what the shift actually requires.

Mar 17, 2026 6 min read

Regulators are no longer satisfied with black-box credit models. Here is what explainable AI looks like in practice.

Feb 24, 2026 8 min read

Volume spikes, adversarial patterns, and regulatory constraints all hit at once. Here is how to build a system that survives them.

Feb 6, 2026 7 min read

Performance degradation in production models is inevitable. The question is whether you see it first or your regulators do.

Jan 14, 2026 6 min read

Bolting compliance on after the fact is expensive and brittle. Here is how to design it in from the start.

Dec 9, 2025 5 min read

Not every claim needs an adjuster. AI triage changes the economics of claims handling when deployed correctly.

Nov 18, 2025 6 min read

Point solutions create integration debt that compounds. Here is why API-first architecture wins in the long run.

Oct 22, 2025 7 min read

When a regulator asks why your model made a specific decision, you need more than a confidence score. You need a trail.

Sep 11, 2025 8 min read

Ensemble methods improve accuracy, but they make explainability harder. Here is how to have both.

Aug 5, 2025 6 min read

Fair lending violations in AI systems often appear only at scale. Testing for them must happen before you get there.

Jul 14, 2025 9 min read

Each architecture has its place. Here is how to choose the right one based on your operational context and regulatory exposure.

Jun 2, 2025 5 min read

The founding story of Prism Layer — where the idea came from and why we believed the problem was worth solving.

Research & Analysis