Kuwait Finance House Cuts Risk Processing Time by 96% with Microsoft AI Solutions

Kuwait Finance House has achieved a 96% reduction in credit risk processing time after developing an in-house AI engine called RiskGPT, built on Microsoft Azure AI solutions.

The system has compressed the time required to evaluate credit cases from approximately three days to just one hour, enabling the bank's risk management teams to make faster, more strategic lending decisions. KFH said RiskGPT analyses multiple data sources simultaneously to generate comprehensive risk assessments, replacing manual processes that previously required analysts to review documents and data across multiple systems.

The AI engine was developed internally by KFH's technology teams using Microsoft's Azure AI services, including natural language processing and machine learning capabilities. The bank said the decision to build in-house rather than licence a third-party solution gave it greater control over the model's design and ensured alignment with its specific risk assessment frameworks and Sharia compliance requirements.

KFH is one of the world's largest Islamic banks by assets, and its adoption of generative AI for core risk operations signals growing confidence in the technology among Gulf financial institutions. While many banks in the region have deployed AI for customer-facing applications, the use of generative AI in credit risk assessment represents a deeper integration into mission-critical banking processes.

The implementation is part of KFH's broader digital transformation strategy, which has included investments in cloud infrastructure, data analytics, and automation across its operations in Kuwait and international markets.