Banking and AI are crashing into each other like rush hour in downtown Atlanta, where everyone’s in motion but few know which lane actually gets you there. Everyone’s talking about transformation, automation, and data-powered decision-making, but behind the scenes, way too many plans stall out before they hit production. That’s
artificial intelligence
24 posts
Credit unions are showing rising interest in AI, yet many assume they need fully consolidated data or advanced analytics environments before they can begin. In practice, the earliest wins come from internal workflows that require far less data than expected. Leaders see how AI can strengthen lending review, enhance operational
AI Execution in Mid-Tier Banking is reshaping how regional institutions strengthen workflows, improve decisions, and advance their operational capabilities. Banks in the $10 billion to $250 billion range are already moving through modernization. Many have active AI initiatives in lending efficiency, fraud detection, document intelligence, and operational review. Leaders understand
Old banking cores weren’t built for AI in banking. They weren’t built for real-time anything, honestly. And yet, they’re still the default under the hood of thousands of banks trying to keep up in 2026. The result? Slow rollouts, patchwork integrations, and a whole lot of duct tape holding together
The Sept 25th Adirondack TechTalk event didn’t feel like a typical meetup. It happened in the heart of Saranac Lake, where autumn hits early, the Wi-Fi gets moody, and the entrepreneurs are as gritty as they are curious. People showed up because they needed something that’s rare in rural tech
The buzz in Watkins Glen next week is not just about the fall foliage or the Seneca Lake cruise, it’s about something a little less scenic and a lot more strategic: community banks finding their AI edge. Lisa Pent, CEO and Founder of ThePentEdge.com, is stepping up to the mic
AI use cases for community banking are starting to look a lot less like Silicon Valley wishlists and a lot more like real tools solving gritty, local problems. Picture this: a small-town branch in Iowa, a desktop monitor humming behind the teller counter, the smell of fresh coffee wafting from
AI use cases for community banking are evolving fast, and they’re not all about cost-cutting or fraud flags. One of the most surprising things is how personal this new tech can feel, especially in small, high-trust markets. Picture a small-town bank in Missouri. The sun’s hitting the brick façade, the
Looking for AI use cases for community banking? You’ve come to the right place. With so much going on and technology constantly advancing it’s easy to get left behind. The real challenge is not the tech though. It’s what you don’t know you don’t know. That’s why we think it’s
Community banks should lead with AI to stay relevant, competitive, and connected in a rapidly changing financial landscape. That sentence might feel bold. But it captures a truth that’s becoming more urgent by the day. The world of finance is evolving fast. Customer expectations have shifted. Compliance demands are mounting.
The GENIUS Act has officially brought stablecoins under federal regulation. That means the future of digital currency is no longer speculative; it is an active policy. For community banks, this is more than just legislation. It is a loud, clear call to upgrade their tech infrastructure. Because while the law
Artificial intelligence in digital banking is changing how community banks show up for their customers. It’s not just about faster apps or slicker websites. It’s reshaping the heart of how banks understand people, handle risk, and build trust in a world that expects everything now. Community banks don’t always have