Question 1

What AI use cases should a bank prioritize first?

Accepted Answer

Honestly, it depends on your bank, and that is the whole point of building this tool instead of just publishing a list. What we can say in general: the use cases worth funding first are the ones with a real, sizeable problem behind them, data that is actually usable today, a clear person who reviews the output before it becomes a decision, and a way to measure whether it worked. Fraud detection and document processing tend to score well early for most banks. Anything sitting on messy, inconsistent data should wait, no matter how promising it looks in a vendor demo.

Question 2

How do you decide which AI pilots are worth funding?

Accepted Answer

Score each candidate against the same five things every time: how significant the problem is, whether the data underneath it is ready, where a human still checks the output, whether the controls around it exist, and whether you can actually measure the result. A use case scoring 20 or higher out of 25 here is worth funding now. Anything lower is not a rejection, it is telling you exactly which gap to close first, usually data readiness or an undefined control owner, before you spend real budget on it.

Question 3

Is this scorecard specific to community and regional banks, or does it work for any bank size?

Accepted Answer

Any bank can use the scoring framework, the five questions do not care about your asset size. But the guidance and the framing throughout this tool are written for community and regional banks specifically, because a four-person compliance team and a twelve-month core system upgrade cycle change what “ready” actually looks like. A money-center bank can afford to fail fast on a dozen pilots. Most banks reading this cannot, and the tool is built around that reality.

Question 4

Does this scorecard replace model risk management requirements such as SR 26-2?

Accepted Answer

No, and please do not treat it as one. This is a self-assessment and prioritization aid, nothing more. Model risk management guidance still applies to whatever you actually put into production, including SR 26-2, the guidance the Federal Reserve, OCC and FDIC issued jointly in April 2026. Talk to your own risk, legal and compliance teams about what applies to your institution before you move past the pilot stage.

Question 5

How long does the AI in Banking scorecard take to complete?

Accepted Answer

Most people are done in under ten minutes, sometimes less. You are not expected to score all 36 use cases, only the ones that actually apply to your bank. Tick those, skip the rest.

Question 6

Can I share the scorecard with colleagues who cover functions I don't?

Accepted Answer

Yes, and honestly you should. Nobody has visibility into all nine functions alone. Use Share for input to generate a link that carries your ticks and scores so far. Your colleague opens it, sees your work already filled in, adds their own scores on the functions you left blank, and can send an updated link right back to you.

Which AI use cases in banking are actually worth doing first?

Frequently asked questions

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