Is your team ready to use AI safely?
Find out in three minutes.

Free · 12 questions · Practical next step

Built for community banks & credit unions

Quick checkIllustrative example · Synthetic customer data

write a quick reply to John Smith — he’s furious we charged him 3 overdraft fees in one day on account 0042871. dob 04/12/1981, ssn •••–••–4829, cell (555) 123-4567. balance is $83.17. wants them reversed

Would you allow this prompt in a public AI tool?

What you get in three minutes

A score, your biggest gap, and one action you can use this week.

Building Momentum

Maturity band
Building Momentum
Top gap
Documentation
Your starter artifact
AI Recordkeeping Template
Get my readiness scoreFree · 12 questions · Practical next step
The value path

Start with readiness. Leave with reviewed workflows.

Sample readiness output

Score, top gap, and starter artifact

Readiness36 / 48
Top gapDocumentation
StarterAI Recordkeeping Template

Each step produces a concrete artifact your team can review, save, and reuse.

Why this exists

Built for bankers who need a real AI plan.

AI is moving into banking faster than many small institutions can staff, budget, or govern. This started after an industry conference where AI was everywhere, but many community bank and credit union teams still had no practical plan for use cases, controls, or ownership.

The AI Banking Institute exists to close that gap. We teach bankers to turn ideas into small, reviewable internal solutions: define the workflow, set data boundaries, check sources, name the human owner, and leave behind an artifact someone else can run, review, and improve.

It is founder-led, but not founder-centered. The work is about giving smaller institutions a way to build capability without pretending a demo is a strategy.

Read how we work

Standards map

A short map of the public guidance used to shape the curriculum. The full source library stays open for review.

Open the full reference library

Public references guide the curriculum; they do not imply regulator approval.

Practice work uses synthetic or sanitized data. Customer PII is never required.

The goal is reviewable AI work a manager, compliance partner, risk officer, or IT reviewer can sign.

Impact

What could one hour saved per employee be worth?

Adjust team size, cost, and the low/high range of hours automatable per week. See annual value, hours recaptured, and payroll percentage.

Estimated annual value recaptured

$357,572

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

Illustrative estimate from your inputs. Math: FTE × weekly hours × loaded hourly cost × 50 working weeks. See assumptions and sources.

CFO note: this is recaptured labor capacity, not guaranteed savings or a projected efficiency-ratio change. The financial result depends on whether those hours are eliminated, redeployed, or converted into measurable throughput.

Take the Assessment

Can we help you today?

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The AI Banking Institute

Start with readiness. Leave with reviewed workflows.

The AI Banking Institute — Turning Bankers into Builders