Huntington National Bank's connected deposits product, built in partnership with payments infrastructure provider Qolo, exemplifies the shift toward augmentation. Deepak Kapoor, Huntington's Head of Payment Products, noted, 'We quickly realized we don't have all the Lego pieces in place to build the card that we want to build, and the ledger and the virtual account provide us with that missing Lego piece that we needed.'
Nearly half of those surveyed said they could not find contact information for potential clients using their existing tools. If I have to go hunting for the data and hunting in multiple places, there's two big issues with that.
Cleaner files mean our underwriting team can focus on high-value risk decisions instead of clearing avoidable conditions, Jake Rowoldt, vice president of information services at Waterstone Mortgage, said in a statement.
I looked at the config and noticed the customer did not have a default route set. He wasn't sure if that was the problem, so he made some changes he thought might be useful. The router Caleb worked on then rebooted, which he expected. But when it restarted, its previous configuration was gone.
The problem was not growth or demand or even competition. It was settlement. Payments took days to clear. Reconciliation took weeks. Cash piled up in the wrong places. Finance teams spent their time explaining why the numbers did not match instead of planning what came next.
We power the experience economy. We enable businesses to deliver the moments that matter and can be found anywhere you shop, dine, stay, or play. In a world where AI is evolving rapidly and investors are struggling to pick the future winners, we offer a physical payment experience in environments that demand a face-to-face interaction.
Within the first days of the year, the BNPL firm rolled out a series of announcements: a rent payments tie-up with Esusu, a bank charter application, debit-card-embedded BNPL through Fiserv, default checkout positioning with Bolt, and integration into QuickBooks invoices.
Our view is that large-language model digital agents can effectively do a non-immaterial portion of the work currently provided by 20-30k independent agents across the United States. The core of the firm's bearish thesis centers on a massive pool of routine, low-complexity insurance policies.
Because of this massive shift, the pressure on business owners has never been higher. Consumers today have zero patience. If your mobile application is slow, or if your website lacks the features they want, they will instantly move to a competitor. To survive and grow, a modern business must be able to create and update its digital tools incredibly fast. However, rushing to build technology introduces a terrible risk: you might accidentally leave your digital doors wide open to criminals.
Investors have committed new capital to fintech company MyCredit, backing its strategy of scaling technology-driven credit platforms rather than a conventional lending operation. The investment reflects a broader shift in fintech funding toward platforms where software, data infrastructure and AI form the primary drivers of innovation, growth, enabling companies to expand across markets without proportional increases in staffing or operational complexity.
But if you dig deeper into how businesses in this industry are actually approaching AI deployments - if you ask questions like how they are governing their data, how they are ensuring data quality, and how easily are they connecting AI tools directly to data platforms - you'll soon realize that claims about AI adoption in financial services don't always align with reality.
In the background, the leader of Anthropic's Safeguards Research Team, Mrinank Sharma, just quit, warning the "world is in peril" from a series of interconnected crises, including AI. Think about that, think about the extent to which you and your business truly meet the standards of AI preparedness, and then consider the challenge it poses to IT decision makers working to keep their heads afloat amid this tsunami of change.
Across industries, artificial intelligence is being framed as the next major force reshaping operations, customer expectations, and the way businesses evaluate risk. Real estate is at the center of that conversation, and title and settlement companies are not just on the sidelines. In fact, the title industry has already moved quickly. According to a recent survey conducted by Qualia, more than 90% of title and escrow professionals have adopted generative AI in at least one form.
Frontier appears to be OpenAI's bid to become the "operating system of the enterprise," offering a unified platform for building agents that can navigate apps, execute workflows, and make decisions. In a blog post announcing the new platform, OpenAI says that Frontier can connect databases, business systems of record for things like customer relationship management software and human resources, ticketing tools, and other internal applications, and then allow AI agents to run processes over these systems.
Servicing teams need tools that help them stay ahead of borrower needs while keeping the experience helpful and human, said Ayo Opeyemi, co-founder of Vertyx. Borrower Relationship Management builds on our platform's foundation to help servicers engage homeowners in the right moments through the channels they already use. On the investor side, the Borrower Relationship Management capability uses artificial intelligencedriven analytics to assess a mortgage's return and risk profile, including changes in loan performance and delinquency scenarios.
The new battleground in banking is intelligent operations and scalable execution. In 2026, banking is about moving money smarter, faster, and with fewer humans in the middle. Across corporate finance and global retail operations, banks are experimenting with technology and operational design in ways that challenge long-held assumptions about scale, speed, and control. Three recent developments exemplify what's happening in money movement: Goldman Sachs deploying AI agents, Truist automating corporate receivables, and Nubank expanding abroad with a lean digital model.
Prudent AI seeks to streamline this process to keep lenders from switching tools, reconciling results across platforms or being surprised by income calculations deep into the loan approval timeline. The company claims that, in some cases, the juggling of multiple tools causes disqualifying factors to not be uncovered until 28 days after borrower engagement begins. One tool. All income types. All loan programs, Jayendran GS, co-founder of Prudent AI, said in a statement.
