
The competition for digital banking customers has never been tougher — and the first impression often decides who wins. According to recent 2025 research, half of all digital banking users say they would switch providers for a better onboarding experience, and nearly one in three already have. For financial institutions, this represents both a warning and an opportunity: onboarding is no longer a back-office process — it’s a make-or-break moment in the customer journey.
At FinTech Automation (FTA), we help banks and credit unions turn onboarding into a true competitive advantage. Our approach goes beyond digitizing forms — we redesign onboarding as a streamlined, automated experience that’s fast, compliant, and built for the modern customer.
Using our suite of workflow automation tools, FTA evaluates every step of your onboarding process to uncover friction points and inefficiencies. From there, we design intelligent automations that handle:
The result? A digital onboarding process that’s faster, more accurate, and far less resource-intensive. Customers move seamlessly from application to activation, while internal teams spend less time on repetitive data entry and more time on strategic engagement.
Institutions that modernize onboarding with automation report dramatic drops in abandonment rates, faster account opening times, and stronger customer satisfaction scores. More importantly, they gain the scalability and flexibility to keep pace with evolving expectations — without adding headcount or complexity.
In a digital-first world, onboarding is your first opportunity to prove your institution’s value. With FinTech Automation, you can make that moment effortless, efficient, and built to last.
U.S. Financial Institutions See 168% Surge in Money Laundering CasesThe latest report from BioCatch paints a stark picture of the growing financial crime crisis: confirmed money laundering incidents in U.S. banks surged 168% in the first half of 2025 compared to the same period last year. The rise reflects a rapidly evolving threat landscape—where fraudsters are no longer relying on outdated schemes but leveraging AI-driven tactics, mule networks, and sophisticated layering techniques to conceal illicit flows.
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