FinXTech
Online/Digital
In response to rapid technological changes within the financial services industry and feedback from industry leaders, Bank Director created FinXTech — a resource that allows financial institutions in the U.S. to discover and connect with potential technology partners and solutions.
FinXTech brings together top decision-makers from both traditional financial companies and fintechs through our annual conferences, editorial content and online resources. Each of our events shine light on how partnerships and collaboration are generating growth, and our thought leadership content provides our audience up-to-date information on the latest innovations and opportunities in financial technology. In addition, FinXTech Connect — our online resource — assists financial institutions in navigating the fintech landscape and connecting with the right technology partners. Source
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Media Outlet details
| Scope | National |
|---|---|
| Language | English |
| Country | United States of America |
Similarweb UVM
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Comscore UVM
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| Frequency | Weekly |
| Days Published | N/A |
Recent Articles
Search ArticlesHow I Solved It: Security Bank & Trust Uses AI To Build Credit Workflow App
Security Bank & Trust Co. President Andy Schornack entered 2026 trying to find a cost-effective solution that had been eluding him for years. He wanted to streamline the slow, manual credit workflow process used at the $1.3 billion community bank, based in Glencoe, Minnesota. That’s when his spouse told him about a new artificial intelligence tool from Anthropic, called Claude Cowork.
The Next AI Opportunity Is Hiding Between the Tasks
A loan file can be ready for review and still go nowhere. The borrower submitted the documents. The relationship manager completed the initial review. The underwriter has room in the queue. Yet the file sits because a task was never assigned, an update remained in an inbox or nobody realized the missing document had arrived. Financial institutions employ experienced people to make difficult decisions, but too often, they spend their days pushing work from one step to the next.
Open Weight AI Models Can Bring Savings, But Also Controversy
Customizing a generative artificial intelligence model to suit your specific needs and running it at the cost of electricity probably sounds too good to be true for most financial institutions. While open weight AI models offer both of those possibilities to banks and credit unions seeking affordable alternatives to increasingly expensive commercial options, they also present certain challenges and risks. Some of those are even being debated at the highest levels of government.
The Biggest Differences Between Document Prep Providers Are Workflows, Not Documents
The loan document automation industry won’t tell you that the documents were never the problem. Walk into almost any commercial lending operation today, and you’ll find compliant loan documents. The compliance boxes get checked, the packages get written and the loans are closed — eventually. But for all the talk and implementation of artificial intelligence, cloud-native platforms and intelligent automation, many lending teams are still doing the same manual work they’ve been doing for years.
Cybersecurity Incident Reporting Is About To Get More Complicated
Banks and credit unions that are already required to urgently report information about cybersecurity incidents to multiple regulators will soon have to add one more federal government agency to the list. The Cybersecurity and Infrastructure Agency (CISA) in September is expected to implement a final rule for the Cyber Incident Reporting for Critical Infrastructure Act of 2022 (CIRCIA).
Is Your Institution Ready for the Latest Types of Fraud?
While other technology innovations took longer to catch on, fraud teams have quickly moved past debating artificial intelligence. Not only is AI embedded across a variety of banking workflows, but fraudsters leveraging AI are creating new risks that financial institutions cannot ignore. These trends have created massive demand for AI-powered fraud detection, and financial institutions are eager to jump in. But just because institutions are willing to deploy AI, doesn’t mean they’re ready.
Bankers Find AI Is Changing Workforce Development Plans
As more banks and credit unions deploy artificial intelligence tools to perform tasks once done by employees, they may soon have to include them in their workforce strategy planning as well. That could involve hiring new leaders who can bring human resources and information technology professionals together with key members of the C-suite to make future hiring decisions with AI in mind.
Before Banks Can Trust AI, They Need To Trust Their Data
Artificial intelligence is becoming central to banking, but its success depends on clean, correct data. With trustworthy data, models can find patterns that protect customers and portfolios, but with corrupted inputs, they are bound to make the wrong call. Data quality provides a bridge between the day-to-day customer experience and the automated systems that keep it seamless, efficient and risk aware. Banks must recognize that bad data does not just create a bad output.
Proposed Change to ACH Return Timeframe Met With Skepticism
Bank lobbying groups are at odds with the industry body that governs the nation’s automated clearing house (ACH) network over its proposal to shorten the timeframe for a variety of ACH returns by 9.5 hours. Nacha believes its proposed change would both increase efficiencies on the ACH network and provide financial institutions with better liquidity.
When Budgeting for 2027: Spend Well, Not Just More
Budget conversations at financial institutions tend to follow a familiar pattern. Leadership teams gather, cost pressures dominate the discussion and the result is a plan that looks almost identical to the one from the year before. In contrast, the financial institutions gaining ground right now are approaching 2027 differently. Their focus is spending that will actually move the needle.