OCC uses AWS GenAI to accelerate development tasks while upholding strict financial-sector security standards.
OCC has adopted AWS GenAI to address three persistent challenges in its software development workflow: slow documentation, complex deployment checks, and inconsistent knowledge management. As a systemically important financial market utility, OCC must improve engineering efficiency without compromising strict security and regulatory controls. GenAI offers a controlled way to automate repetitive tasks that previously consumed large blocks of developer time.
GenAI now generates detailed software test documentation, cutting manual effort by up to 80%. This improvement reduces bottlenecks in test readiness and allows teams to focus on quality assurance rather than formatting and writing tasks. The technology also accelerates deployment reviews. Developers can surface potential errors earlier, validate code changes more consistently, and reduce friction in the release cycle. These gains support faster delivery while maintaining the reliability needed for critical clearing infrastructure.
The system also streamlines internal knowledge creation. GenAI can draft release notes, technical summaries, and workflow procedures using internal development data. This allows teams to maintain clearer documentation, improve cross-team alignment, and reduce knowledge gaps during rapid iteration. The approach helps OCC manage growing complexity as systems evolve, making institutional knowledge easier to maintain and distribute.
OCC has built a governance framework to ensure GenAI follows regulatory expectations for transparency, accuracy, and risk controls. The organization plans to extend AI support into requirements verification and structured security reviews. This expansion aims to deepen GenAI’s role in strengthening operational resilience while supporting OCC’s long-term mandate to safeguard market integrity. AWS views OCC’s implementation as a model for how GenAI can modernize critical financial operations by pairing automation with strong oversight.
