Stop Risky Merchants with Automated Underwriting in 2025
Learn how automated merchant underwriting tools stop risky merchants, reduce fraud, and help you scale your platform safely in 2025.
U.S. payments revenue is rising, but margins are tightening. Learn why efficiency, automation, and real-time risk intelligence will determine which platforms win.

The U.S. payments industry is entering one of its strongest growth periods in years. According to a recent report from Payments Dive, U.S. payments revenues rose nearly 10% year over year, driven by digital adoption, embedded finance, and a surge in real-time transactions. [1]
But while top-line growth is accelerating, margins aren’t keeping pace.
The same operational drag is holding many institutions back – fragmented systems, manual reviews, and legacy compliance infrastructure.
The future of payments isn’t just about scale. It’s about scaling efficiently.
Payments revenue is rising, but operating costs are rising too.Fraud losses, compliance overhead, and labor-heavy processes are squeezing what used to be sustainable margin structures.
The institutions that win won’t just process more payments – they’ll process them smarter.
Automated underwriting, continuous monitoring, and unified data pipelines will shift from differentiators to baseline expectations.
In payments, every manual task is a tax on margin.
Across the ecosystem, a clear divide is emerging: Legacy banks and payment processors are weighed down by manual workflows, while fintechs and modern platforms are automating risk and compliance end to end.
Traditional providers rely on human analysts and static rules to monitor risk and detect anomalies – strategies that can’t keep pace with the speed and complexity of today’s transactions.
Modern platforms, meanwhile, use AI-driven models to continuously evaluate transaction data, merchant behavior, and compliance signals in real time.
The difference – reacting vs. anticipating – is where efficiency compounds into profit.
The fastest-growing fintechs are proving that scale doesn’t have to come at the expense of efficiency.
They’ve built connected risk systems that merge merchant data, transaction intelligence, and fraud detection into one infrastructure.
With AI at the core, these systems:
The result isn’t just fewer losses – it’s stronger compliance, faster onboarding, and more room for innovation.
Payments revenue will keep climbing, but efficiency will determine who keeps the profit.In an environment defined by real-time data, manual reviews and legacy rules can’t scale.
The next phase of growth belongs to the platforms that can handle volume without losing visibility – those that use automation to see more, act faster, and reduce operational lift.
Because in the race for payment innovation, growth without efficiency is just expensive momentum.