Bankers, not platforms.
Every program is for a person inside the bank. Software comes second — and only when it serves the curriculum.
About the Institute
Practical AI training for banks that need more than a demo.
The AI Banking Institute helps community banks and credit unions turn AI interest into safe, reviewable work: clear use cases, clean data boundaries, checked sources, and human ownership.
Why this exists
AI showed up before many smaller institutions had a plan.
The idea started at a banking conference where AI was everywhere, but many community bank and credit union teams still did not have a practical strategy for use cases, controls, or ownership.
AiBI exists to make that next step approachable: help the people who know the workflow turn one useful idea into something their institution can review, run, and improve.
What we are building
Turn bankers into builders, safely.
The goal is not to make every banker a software engineer. The goal is to give ideas people a safe, practical way to define a problem, shape a solution, and hand off work that can survive review.
01
Pick one workflow
Start with a real banking task instead of a generic AI demo.
02
Set the boundaries
Classify the use, remove sensitive data, and name the human owner.
03
Leave a usable artifact
Produce something a manager, compliance partner, risk officer, or IT reviewer can inspect.
Operating principles
Clear standards, short enough to remember.
These principles keep the curriculum focused on useful bank work, not generic AI talking points.
Sourced numbers only.
Every claim cites its origin. If we don't have data, we say so. No marketing statistics.
Regulator-aligned by design.
Curriculum maps to SR 26-2, TPRM, ECOA / Reg B, and the AIEOG lexicon — not as a footnote, as the structure.
Reviewed work, not quizzes.
Learners ship reviewed artifacts. We are not in the multiple-choice business.
Self-paced, role-aware.
Tellers, lenders, ops, compliance, risk, executive support. The same curriculum, the right artifacts.
Plain language, plain prices.
Tuition is published. Methodology is published. The Institute should read like a research shop, not a sales funnel.
How the work stays grounded
Designed for review, not just completion.
Public source map
Curriculum references point to named public guidance. They are not presented as regulator approval.
Synthetic practice data
Labs and examples do not require customer PII or confidential records.
Reviewable work
Learners produce use cards, SOPs, briefs, and checklists that can move through a bank review.
Plain attribution
No advisor, customer, learner, or institution appears as proof without explicit public approval.
Public reference map
Sources are named. Endorsement is not implied.
The curriculum uses public references as source material for disciplined AI work in banking. Those references do not approve the Institute, the curriculum, or the credential.
See every source we citeTrust boundaries
What we will not overclaim.
No regulator issues, approves, recognizes, or endorses AiBI credentials.
No ROI estimate is presented as guaranteed savings or a projected efficiency-ratio change.
No learner needs to paste customer PII or confidential records into course practice prompts.
No named person, quote, or logo appears without explicit public-attribution approval.
Press and research
Need a source, quote, or background?
Journalists, analysts, podcasters, and researchers can send questions to hello@aibankinginstitute.com. Include your deadline, outlet, topic, and whether you need source background or artifact context.
Attribution boundary
The Institute will not imply regulator, customer, advisor, learner, or institution endorsement without explicit public-attribution approval.
Email press inquiryThe AI Banking Institute
Start with a readiness score. Then inspect the work.
The fastest way to understand the Institute is to see the artifacts it asks a learner to produce.