For over 20 years, payments competed on speed. That race is over: real-time rails, AI shopping agents, and stricter compliance rules have all arrived at once, and they’ve landed squarely on operations teams still built for a slower, batch-based world. The result is a hidden tax: false fraud alerts, growing exception queues, and five disconnected systems that can’t give a yes-or-no answer in the milliseconds an instant payment demands.
This white paper lays out the Self-Running Payments Model, the operating shift already underway at JPMorgan Chase, HSBC, Mastercard, and Stripe: let AI carry the everyday 95% of clean, routine payments at machine speed, and reserve trained specialists for the hard 5% — the unusual, disputed, and high-risk cases where judgment and accountability matter most.
Download the whitepaper to explore:
- The three forces reshaping payments: Instant/final money, AI agents as customers, and faster compliance rules — and exactly where each one hits your operation
- The Autonomy Ladder: A four-rung framework to honestly place your operation today and chart the path to Rung 4
- Named, public results from JPMorgan Chase, HSBC, Mastercard, and Stripe showing what AI-run operations actually deliver
- A five-move playbook for building a self-running operation, from joining up the lifecycle to measuring outcomes instead of activity
- How Sutherland FinPay360 puts this model into practice, screening 99% of payments in under 0.5 seconds with up to 70% fewer false positives
