The AI Banking Institute

Regulator-aligned AI training · For community banks

AI is already in your bank.
Your team just isn't trained to use it safely.

The AI Banking Institute helps community banks and credit unions adopt AI with regulator-ready frameworks, practical training, and real workflows. Built specifically for the institutions FDIC, NCUA, and the Federal Reserve supervise.

Why now

AI did not wait for your AI policy. It is already in branch operations, lending, and member service.

01

Your staff are already using AI.

ChatGPT, Copilot, and Gemini are running through staff browsers right now. Every prompt is a data-handling decision your compliance team would want to know about — and most of them happen with no audit trail at all.

02

Your compliance team is behind.

A vendor PDF tells you what the model can do. Your team needs to know what they should do — under SR 11-7, the AIEOG Lexicon, and the regulator that examines you. That answer takes more than a policy memo.

03

Policy lives on paper. Risk lives in workflow.

A loan officer summarizing a member email on Monday needs steps, examples, and a review process — not a paragraph from the AI policy. The gap between what is written and what is done is where both risk and adoption live.

What you leave with

You leave with systems your team uses Monday morning.

Practitioner training is finished when you have a workflow your compliance team will sign off on and your front-line staff will actually use.

12 modules · 5–7 min reps · SAFE framework · regulator-aligned

  • 01

    A safe AI workflow for your role

    Concrete examples — rewriting a messy internal email, summarizing a policy without leaking PII, drafting a compliant member response. Useful in your next workday.

  • 02

    A reusable prompt system

    Not one-off prompts. A system you apply across tasks, with structure your team can audit and improve. Built on the SAFE framework.

  • 03

    A documented review process compliance can support

    Every artifact you produce comes with the review log, the human checkpoints, and the regulatory rationale. Hand it to your audit team without translation.

Concrete reps from the curriculum

Module 03 · 6 min

Rewrite a messy internal email

Without leaking customer PII or violating Reg E disclosures.

Module 06 · 7 min

Summarize a policy safely

With the human checkpoint and audit log your compliance team needs.

Module 09 · 5 min

Draft a compliant member response

Aligned with ECOA/Reg B and your institution's tone of voice.

Run your own numbers

How many staff hours could AI give your institution back?

Conservative model: staff count × loaded cost × weekly hours recovered. Not a forecast — a way to frame the value of better daily workflows before a bigger AI investment.

Math matches CLAUDE.md spec · numbers stay on your device

50
$85,000
2 hrs
5 hrs

Estimated annual labor hours recaptured

$357,572

Range: $204,327$510,817 · 8,750 hours/year · ~8.4% of payroll

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