Case Studies

Independent Model Validation Technical Consulting

J.S. Held Acquires Shechter & Everett to Expand Forensic Accounting Capabilities for Family Law Disputes in Florida

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The Situation

A digital money transfer platform implemented a machine-learning–based fraud detection model within its transaction monitoring framework to identify potentially fraudulent activity in near real time. The model operated at scale across high-volume, customer-initiated transactions and played a critical role in influencing alert generation, investigative workflows, and downstream risk decisions. 

How We Advised

Given the model’s material impact on customer outcomes and financial crime risk management, the platform sought independent assurance over the model’s performance, reliability, and fairness, particularly in light of increasing regulatory focus on explainability, bias, and model governance for advanced analytics. 

Key Risks

  • Inconsistent or degraded model performance
  • Unintended bias or disparate impact across customer segments
  • Governance and compliance risk
  • Operational and regulatory exposure
     

Significance
As part of an independent model validation engagement, J.S. Held technical experts contributed to an independent assessment of the model’s operational behavior, consistency of outputs, and potential disparate impact considerations. Based on information available at the time of review, our experts:

  • Identified performance and consistency considerations across operational use cases
  • Evaluated potential bias and disparate impact risks across customer populations
  • Delivered actionable recommendations to strengthen model reliability, support fair outcomes, and enhance governance expectations for ongoing monitoring

Related Practice Areas

> Artificial Intelligence (AI) & Large Language Model (LLM) Governance & Security Testing
As artificial intelligence (AI) and large learning models (LLMs) become more prevalent in global business, we help organizations address accompanying governance and security risks. We rank evolving risks and develop plans to address, identify emerging AI opportunities, implement sound protocols and governance programs, and provide ongoing assessments, training, and support.

 

> Artificial Intelligence (AI)
As organizations scale their use of AI, they face critical questions around valuing AI assets, resolving disputes, managing risk, and building effective governance frameworks. We help clients navigate these questions with confidence, offering technical and business expertise across intellectual property (IP) valuation, litigation support, and responsible AI deployment.

Key Contact

For additional information about the engagement or to learn more about our services, contact:

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