Case Study: Standard Chartered improves model explainability and fairness with TruEra

Standard Chartered uses TruEra to analyze and improve machine learning model quality, ensure responsible use of AI

Standard Chartered, the international banking group, wanted a way to improve trust and transparency in its machine learning and AI use. The bank needed a solution that could explain model decisions and evaluate quality across fairness, conceptual soundness, reliability, and stability throughout the full model lifecycle. It selected TruEra to support these needs across development, validation, and monitoring.

TruEra implemented its AI Quality platform to analyze credit decisioning models and related training data, helping Standard Chartered identify important features, understand feature impact, assess model stability over time, and detect unjust bias. The solution gave development, validation, audit, and compliance teams clearer visibility into model behavior, helping build trust and move more sound, fair models into production faster. Standard Chartered also expanded use of TruEra across additional models after the initial proof of concept proved successful.

Standard Chartered

Sam Kumar

Global Head Analytics and Data Management