01
The never-paste list
The non-negotiable data types that must never touch a public LLM: PII, member records, non-public examination data, and the compliance reasoning behind each exclusion.
Boundary-Safe
AI governance built for institutions that get examined.
Every recommendation from The AI Banking Institute is grounded in the shared vocabulary of the AIEOG AI Lexicon, published by the US Treasury, FBIIC, and FSSCC in February 2026 — the first official cross-agency vocabulary for financial AI governance.
If your board has been asking whether AI is safe for a regulated institution, the answer is not a brochure. It is a framework. Specifically, it is SR 11-7 for model risk, Interagency TPRM Guidance for vendor oversight, and ECOA with Reg B for fair lending — applied to generative AI through the AIEOG vocabulary.
Free download
The Safe AI Use Guide.
Six chapters. Written for community banks and credit unions. One page per chapter. Maps directly to SR 11-7 and the AIEOG AI Lexicon.
What is inside
Six chapters your compliance officer will actually read.
02
Private cloud vs. public model
When private inference is required, when a public model is acceptable, and the decision tree every staff member should run before pasting anything into a tool.
03
Mapping to SR 11-7
How model risk management guidance applies to generative AI, with specific language you can drop into your AI governance framework.
04
Vendor evaluation scoring
The five-question framework for evaluating AI vendors against your risk posture, including concentration risk thresholds.
05
Shadow AI discovery
A structured method for identifying the AI tools your staff are already using without your knowledge, and bringing them inside a governance perimeter without killing adoption.
06
Examiner readiness
What to have on the table when an examiner walks in. Based on the AIEOG AI Lexicon vocabulary (US Treasury, FBIIC, FSSCC, February 2026).
Not just a PDF
The guide is the starting point. The engagement is how it gets operationalized.
A governance guide is not the same as a governance framework. An engagement with The AI Banking Institute installs the framework inside your institution — with named owners, a review cadence, and documented alignment to every applicable regulatory reference.
See how we work