What’s inside?
In this playbook, you'll learn:
- Understand why the decision window now defines growth, and how real-time decisioning differs from near-real-time and batch
- Identify where your program sits on the four-stage Real-Time Decisioning Maturity Model
- Build the five capabilities every real-time decision engine needs, from in-flow features to connected investigation
- Unify fraud and AML on one decision layer while keeping separate workflows and obligations
- Prove speed at peak with P99 latency and throughput benchmarks, and evaluate vendors with ten key questions
- Build the business case with KPIs, an ROI worksheet, and a practical 90-day plan
- Assess your organization’s readiness with a Real-Time Decisioning Readiness Checklist
Chapter 1
The Decision Window
Approving and stopping in milliseconds now defines growth
Every payment, login and application now arrives with a decision window measured in milliseconds. Instant payments such as RTP and FedNow settle in seconds and cannot be recalled. Digital onboarding has replaced the branch. Customers expect to open an account, move money or pay a friend without waiting.
That window works in both directions. A program that decides inside it approves good customers instantly and stops risky activity before money moves. A program that decides after it either adds friction for everyone or finds losses once they have already happened.
Attackers have adapted to this speed. Coordinated rings test many accounts at once, scams push victims to send funds in real time, and mule networks move proceeds across institutions within minutes. Review cycles measured in hours cannot keep pace.
The opportunity is clear: institutions that bring their fraud and AML decisions into the transaction path grow approvals, reduce losses and give customers the instant experience they expect.
Year-After-Year,
the Industry’s Choice
.png)
.png)
