Build Around the Customer, Not the AI Tool

AI may be changing the tools available to banks, but Chris Stanley’s message gets back to basics: Start with the customer’s need and profile, then work backward. 

In a recent episode of the ProSight Banking Strategies Podcast, Stanley, banking industry practice lead at Moody’s, explained how banks and credit unions can deliver faster financing and risk decisions without sacrificing safety. Although AI is instrumental, it “isn’t a pure technology story,” he said. “It’s really a customer story.” 

For banks, that framing leads to several practical priorities: 

Get to an answer faster—even when the answer is no. Customers have always wanted quick answers. What has changed is the set of tools available to provide them. A drawn-out review of a deal the bank cannot do creates cost for both sides. Faster decisioning can improve the customer experience even when it helps the bank exit an opportunity earlier. 

Use shared signals to reduce friction. Stanley described the value of a consistent analytical anchor—such as a credit-risk measure—that different teams can use across the customer lifecycle. The point is to help experts distinguish customers more clearly and not force every customer through the same level of review. Lower-risk customers may move to a quicker yes or a less onerous structure. Higher-risk customers may need more expertise, monitoring, or discussion. 

Connect the customer view. Better decisions depend on linking data across the institution. Stanley pointed to the need to connect a depositor, mortgage customer, and business customer who may all be related to the same person or entity. AI can help create that connective tissue, but only if banks focus on the questions their experts need to answer. 

Rethink the process, not just the task. Stanley pushed back on one piece of conventional wisdom: “Speed of deployment is the wrong scorecard.” Banks should not limit themselves to asking which existing task they can automate. Stanley compared the moment to factories adopting electric motors: The real gains came not from plugging a new motor into the old layout, but from redesigning the factory around what the technology made possible. 

Help experts let go of legacy workflows. Culture matters because expertise is often tied to familiar ways of working: credit memos, committees, and legacy processes. Stanley’s advice was not to discard judgment, but to refocus it. Banks need people who understand the difference between using an AI output and understanding it. 

The takeaway: AI can help banks move faster, but speed alone is not the goal. The larger opportunity is to redesign decision-making around customer needs, connected data, trusted signals, and expert judgment. The banks that get that right will not simply plug AI into yesterday’s workflows. They will use it to rethink how decisions get made. 

For more from Chris Stanley on how AI, data modernization, and customer expectations are reshaping bank decision-making, download the ProSight Quick Q&A, “The Future of Banking: Better Decisions, Delivered Faster.”