BAICS (Banking AI Compliance Standard) is a structured framework to help financial institutions safely integrate artificial intelligence into lending operations.
Built on real operational experience and based on direct feedback from U.S. banks and lenders, BAICS addresses the growing need for AI-specific risk controls, clear guidelines, and secure implementation strategies.
Most AI tools were not designed with regulated environments in mind. BAICS provides a roadmap for financial institutions to evaluate, adopt, and monitor AI tools without compromising data security, compliance, or borrower trust.
.png)
Prevent sensitive financial information from being exposed to third-party AI systems.
Safely integrate external AI models while maintaining compliance and security standards.
Establish proper protocols for using customer data in AI model training.
Ensure AI decisions can be explained and audited by regulatory bodies.
Implement robust consent mechanisms and data governance frameworks.
Stay ahead of evolving regulations related to AI in financial services.
BAICS was created to keep pace with the rapid evolution of generative AI. Built with flexibility at its core, the framework will be continuously updated as new technologies and risks emerge—so your bank's policy can evolve with confidence.
Designed to accommodate emerging AI technologies and regulatory changes
35 Risk-Control Pairs mapped to real-world banking operations
BAICS was developed by a working consortium deidcated to AI in banking. It was built in collaboration with compliance leaders, banking executives, and AI engineers. It reflects firsthand experience in building safe, scalable AI used in real SBA and conventional lending today.
BAICS is an open standard committed to transparency and collaboration. Want early access to the full framework? Have feedback or use cases to share?