Risk Insights | Fair and accurate FS algorithms

Do you know exactly where errors are hiding in your algorithmic systems?

Biased models wasting resources on the wrong investigations.
Flawed scoring rejecting good customers (or approving risky ones).
Calculation glitches leaking revenue in fees and commissions.

We provide independent reviews of algorithmic systems in banking and insurance.

Catching the bias, errors, and logic flaws that internal teams often miss.
Uncovering these problems before they hurt your customers, your bottom line, or your reputation.

Why is this so hard to get right?

It’s not because your team is negligent. It’s because FS data and algorithms are tricky.

Layers of legacy: New models sit on top of old systems. Errors creep in where the layers meet.
Drift: Models that worked perfectly in 2020 might be unfair today.
Black Boxes: It's not always easy to explain how a fee or decision was calculated.

We get into the weeds

Moving beyond a simple scan of your policy documents.
Tracing the calculations, stress-testing the logic, and checking the data.
Telling you plainly what’s broken and how to fix it, without the complexity.

Our approach is outlined further here.

We work with senior leaders

In insurers, banks and credit unions who want to know that their algorithmic systems are accurate and fair.

If this is your situation, schedule a call. We'll explore your concerns and outline a plan to address them.