Your Call Center Is a Cost Center. The Fintechs Already Fixed That.

When I researched my book on AI in financial services, 99 out of 100 fintechs were already automating 40 to 60 percent of the work credit unions still hand to humans. Nowhere is that gap more visible — or more fixable — than in your contact center.

Here is a number that should keep you up at night. When I researched my book on AI in financial services, 99 out of 100 fintechs I talked to were already using machine learning to automate 40 to 60 percent of the work that credit unions still hand to humans. That gap was real then. It has only widened. And nowhere is it more visible — or more fixable — than in your contact center.

Walk your contact center floor today and you will see talented people spending their day resetting passwords, reading off balances, and explaining why a transaction posted on Tuesday. That is not service. That is humans doing what software should have done an hour ago. Meanwhile the fintech down the road answers all of it instantly, at 2 a.m., for a fraction of the cost — and uses the people it saved to actually sell.

The move, in one sentence

Let AI absorb the routine, and convert your contact-center staff from transaction processors into member advisors. That is the whole strategy. It is the single highest-scoring cost play in our entire strategy bank, and it is the rare move that cuts cost and grows revenue at the same time. Read that again, because almost nothing else on the list does both.

Why this one is different

Most cost-takeout is subtraction: you remove an expense and you are done. This one is subtraction and addition in the same breath. The AI agent handles the password reset, the balance inquiry, the card activation — the 60 percent of volume that is pure cost — and it does it instantly, around the clock, in any language. That is the subtraction. Then the human you freed up stops being a switchboard and starts being the thing a fintech can never be: a trusted person who knows this member, catches that they just had a baby or changed jobs, and helps them with the loan or the plan they actually need. That is the addition. The fintech automated the cost. You automate the cost and keep the relationship.

“But our members want to talk to a person”

Good. So do mine. This is not about removing humans — it is about pointing them at the conversations that deserve a human. No member has ever felt loyalty because a person read them their balance. They feel loyalty when someone catches a problem before they did, or helps them through a hard month. AI taking the routine work is what finally gives your people the time to do that. The credit unions that win this decade will not be the ones with the most staff or the fewest. They will be the ones whose staff spend their hours on the things only a human can do.

What it actually takes

Start narrow and concrete. Pick your top ten call reasons; you already know what they are. Deploy a generative assistant against the routine half and measure containment honestly. Take the capacity you free and retrain those people as advisors with real goals — deepening relationships, surfacing the next-best product, catching the life events that signal a need. Do not do this as a layoff dressed up in AI language; members and staff both smell that instantly, and it poisons the whole effort. Do it as a promotion: your people are moving up from processing to advising. That story is true, and it is the one that works.

The agentic future is coming whether we build it or not. The endpoint — a credit union run by a small human team orchestrating AI agents — is closer than most boards believe. You do not have to leap there this year. But the contact center is where you start, because it is where the gap with the fintechs is widest and the fix is clearest. Move now, while the fire is still small enough to put out.