At this year’s FinTech Meetup, AI was a constant across nearly every conversation. From fraud detection and risk assessment to contact center automation, document processing, and credit data, it showed up consistently in both vendor positioning and product demonstrations.
While the volume of solutions on display was difficult to ignore, the conversations our team had kept coming back to a more practical question: how does this meaningfully improve operations across financial services, specifically credit administration.
For Ericka Schwarm, VP of Business Development at Concord, the value of the event came from those direct exchanges.
“Getting the chance to connect in person and really understand how teams are thinking about their operations was invaluable,” she noted. “There’s a lot of innovation, but what stood out most were the conversations around how organizations are actually applying AI to improve their operations.”
That distinction matters because in credit administration, servicing, and capital markets operations, AI is no longer a differentiator, it’s becoming the baseline expectation across the industry. Now, the real challenge is how to incorporate it in a way that supports the people, processes, and decisions that define credit operations.
As Kyle Derry, COO at Concord put it, “AI is moving faster than most expect. The companies that will move the quickest are the ones that learn how to work with it, not just adopt it.”
That perspective is shaping how Concord approaches AI across credit administration, servicing, and capital markets. We’re analyzing the market and anticipating where AI can assist to improve the systems that serve the full credit lifecycle.
For example, we recently launched the Customer Intent program, which uses generative AI to analyze borrower interactions across voice and text. This enables customer service teams to surface patterns, anticipate needs, and resolve issues earlier in the customer journey.
Additionally, we see significant upside in Natural Language Query (NLQ) capabilities, which expand how teams interact with portfolio data, enabling real-time questions around performance, credit quality, and emerging trends.
Most importantly, these capabilities extend across our broader operating model, which spans consumer and commercial portfolios. With the recent addition of Finley Technologies, Concord has also expanded its capital markets operations, bringing software-driven credit facility management, borrowing base automation, and portfolio analytics into the same ecosystem.
The takeaway from FinTech Meetup 2026 was clear. AI is already incorporated across the industry. The focus now is on how effectively it’s applied across real workflows, at scale, and across the full credit administration lifecycle. That’s where the conversation is heading. And increasingly, that’s where differentiation will come from.