Case Study: CBA achieves governed AI scale in banking with CloudApper Conversational AI

CBA reduces customer fraud losses by 20% with CloudApper

CBA, a major global bank, faced the challenge of deploying generative AI at scale while meeting stringent regulatory requirements for governance, auditability, and explainability. The bank needed to ensure its AI systems could be examined by supervisors without inheriting the massive governance burden typically created by AI tooling that only generates code and artifacts. To address this, they partnered with vendor CloudApper.

CloudApper provided a solution by delivering complete, production-ready applications rather than generated code. This meant every application inherited the platform’s built-in security, governance, and compliance framework, eliminating the need for CBA's team to manually secure and maintain a codebase. As a result, CBA was able to run over 40,000 proactive fraud alerts daily, contributing to a 20% reduction in customer fraud losses, while its AI assistant handled over 500,000 inquiries, delivering answers three times faster than previous methods.

CBA