AI, Cloud Help Absa Streamline Credit Risk Governance

Absa has modernised its credit risk management platform using SAS’ AI and analytics platform, SAS Viya, running on Amazon Web Services (AWS), a move aimed at improving the speed and efficiency of credit decision-making while strengthening regulatory compliance.

The new platform has significantly reduced the time required to generate credit risk monitoring reports, with reporting cycles falling from several weeks to a matter of hours. According to the bank, the modernised environment has also shortened the time needed to deploy new credit risk models by approximately 50%. The transformation reflects a broader trend across the financial services sector, where banks are increasingly adopting artificial intelligence, cloud computing and automation to strengthen risk management while responding to growing regulatory scrutiny and customer expectations for faster lending decisions.

Absa manages more than 500 credit risk models across its retail banking portfolio. As the volume and complexity of these models increased, the bank’s previous monitoring processes, which relied heavily on manual scripting and disconnected systems, became increasingly difficult to maintain.

“Model monitoring is a vital part of our model governance,” said Dewald Fourie, Modelling Data Scientist at Absa. “Previously, analysts spent up to four weeks generating a single report. Now, with SAS Viya on AWS, we’ve automated the process and shifted our focus to strategic analysis and innovation.”

The modernised platform automates the generation of model monitoring reports and provides standardised dashboards across the bank’s credit risk portfolio. It also incorporates AI-driven insights designed to help identify opportunities for further optimisation while reducing manual intervention.

According to SAS, the project has enabled Absa to onboard new credit risk models more quickly by streamlining governance processes and reducing the time required for approvals and implementation. Stu Bradley, Senior Vice President of Risk, Fraud and Compliance Solutions at SAS, said the platform enables financial institutions to improve model governance while supporting the responsible deployment of AI.

“Absa’s adoption of SAS Viya on AWS has transformed model risk management from a back-office function into a forward-looking strategic advantage,” Bradley said. “The focus on governance is helping streamline AI innovation, and this evolution enables faster, more reliable credit decisions, improves loss predictability and strengthens regulatory compliance for Absa.”

As part of the implementation, Absa established a Centre of Excellence to support the redevelopment of its model monitoring framework. The new environment delivers automated execution of monitoring processes, standardised reporting and near real-time visibility into model performance for both business teams and regulatory stakeholders.

The move also allows computing resources to scale dynamically through the cloud rather than relying on fixed on-premises infrastructure, enabling the bank to allocate processing capacity according to demand. Beyond operational efficiencies, the project reflects the growing importance of AI governance within financial institutions. As banks adopt more machine learning models for lending, fraud detection and customer engagement, regulators are placing greater emphasis on transparency, explainability and continuous monitoring of AI systems.

For African banks in particular, the ability to modernise credit risk management while maintaining regulatory compliance is becoming increasingly important as digital lending grows and financial institutions seek to expand access to credit without increasing portfolio risk.

Absa said it plans to extend the use of its AI and data-driven operating model to other parts of the business as it continues its wider digital transformation programme.