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Algorithm Assurance for High-Impact Decision Systems

Independent technical evidence for automated decision systems beyond pure AI — credit, HR, biometrics, insurance, eligibility and pricing — before they affect people at scale.

The problem

Not every high-impact system is a neural network. Rule engines, scoring formulas and automated eligibility decisions carry the same risks: bias, fragility, drift and undocumented limits. Algorithm Assurance brings the same independent scrutiny to any system that decides at scale.

What we validate

  • Credit scoring and decisioning
  • HR screening and ranking
  • Biometrics and identity
  • Insurance and eligibility
  • Algorithmic pricing
  • Fraud detection
  • Decision-support logic
  • Bias, drift and fragility

What you receive

  • A Proof Score and verdict
  • A risk and bias assessment
  • Documented limits and assumptions
  • Prioritized recommendations

Who it's for

Method, in brief

One principle: before trusting a system, we try to break it — in a controlled, documented way. We work across context, data, performance, calibration, robustness, bias, drift, fragility, overfitting and operational risk, then summarize a Proof Score and recommendations.

Pricing

Scoped to the system; typically a Model Assurance Report (from €2,500).

Related: AI Model Assurance · Independent Model Validation · Methodology · Pricing · Sample report · Contact

FAQ

Frequently asked questions

What systems does this cover?

Automated decision systems beyond pure AI — credit, HR, biometrics, insurance, eligibility, pricing and fraud.

Do you assess bias?

Yes — bias, fragility, drift and undocumented limits are core to the review.

What do I receive?

A Proof Score and verdict, a risk and bias assessment, documented limits and prioritized recommendations.