Purpose of the Template
This decision template provides your fraud operations team with a structured framework to evaluate suspicious transactions in real-time payment environments. With instant payments, you have seconds, not minutes, to act. The sender typically can't recover funds once a transaction is complete, so your detection window has shrunk drastically.
Use this template to standardize how your team assesses transaction legitimacy when speed is critical. It's designed for Same Day ACH, RTP, FedNow, and other instant payment channels where traditional investigation workflows don't apply.
Prerequisites
Before implementing this template, ensure you have:
Data Access:
- Real-time device fingerprinting
- Transaction velocity data (account-level and device-level)
- Historical behavioral baselines for customer segments
- Network intelligence feeds (if available through your payment processor or consortium)
Technical Infrastructure:
- API response time under 200ms for fraud scoring systems
- Automated rule engine to trigger holds or step-up authentication
- Logging that captures decision rationale for SAR filing and dispute resolution
Team Readiness:
- Defined escalation path for edge cases exceeding automated thresholds
- Authority matrix specifying who can override system decisions in real time
- Post-mortem process for analyzing false positives and negatives
If network intelligence feeds are unavailable, rely more on device and behavioral signals.
The Decision Template
TRANSACTION ID: [Auto-populated]
CHANNEL: [RTP | FedNow | Same Day ACH | Zelle | Other]
TIMESTAMP: [Auto-populated]
AMOUNT: $[Amount]
RECIPIENT ACCOUNT: [Last 4 digits]
--- IDENTITY CONFIDENCE ---
□ Device matches historical pattern (Y/N)
□ Biometric authentication passed (Y/N/NA)
□ IP geolocation aligns with stated location (Y/N)
□ Session behavior matches user baseline (Y/N)
IDENTITY SCORE: [0-100, auto-calculated]
< 40: HIGH RISK - Block and require re-authentication
40-70: MEDIUM RISK - Apply step-up authentication
> 70: LOW RISK - Proceed with monitoring
--- TRANSACTION CONTEXT ---
□ Recipient previously paid by this sender (Y/N)
□ Transaction amount within 30-day velocity norm (Y/N)
□ Time-of-day matches sender's typical pattern (Y/N)
□ Recipient account age > 90 days (Y/N/Unknown)
CONTEXT SCORE: [0-100, auto-calculated]
--- NETWORK SIGNALS (if available) ---
□ Recipient flagged in consortium data (Y/N/NA)
□ Device associated with prior fraud (Y/N/NA)
□ IP address on known proxy/VPN list (Y/N/NA)
NETWORK SCORE: [0-100, auto-calculated or "Insufficient Data"]
--- COMPOSITE RISK ASSESSMENT ---
OVERALL RISK LEVEL: [LOW | MEDIUM | HIGH | CRITICAL]
Decision Logic:
- CRITICAL: Block transaction, require MFA + manual review
- HIGH: Hold transaction, trigger step-up authentication
- MEDIUM: Allow with enhanced monitoring (flag for 72-hour review)
- LOW: Allow, standard monitoring
--- ACTION TAKEN ---
Decision: [ALLOW | HOLD | BLOCK]
Method: [Automated Rule | Manual Override]
Authorized By: [System | Analyst Name]
Rationale: [Free text, 1-2 sentences]
--- VERIFICATION WINDOW ---
If HOLD: Customer contacted via [SMS | Email | Phone] at [Time]
Response deadline: [15 minutes from contact]
Outcome: [Confirmed Legitimate | Confirmed Fraud | No Response]
Customizing the Template
Adjust Scoring Thresholds:
If you operate in a high-fraud area or handle high-value payments, tighten the identity score threshold from 40 to 50 or 60. If false positives harm customer relationships, lower the medium-risk floor to 35 but add mandatory recipient verification for first-time payees.
Tailor Biometric Requirements:
For mobile app transactions, require biometric authentication. For web-based business payments, focus on device fingerprinting and session behavior analysis.
Define "Historical Pattern":
For consumer accounts, use a 30-day behavioral baseline. For business accounts with irregular schedules, extend to 90 days and prioritize recipient history over time-of-day patterns.
Incorporate Network Intelligence:
If you have access to a fraud data consortium or network intelligence, use the network score as a strong signal. If not, focus on identity and context scores.
Clarify Verification Window:
For RTP and FedNow, set a hold window of 2-5 minutes. For Same Day ACH, you have slightly more time, but still measure in minutes.
Document Override Authority:
Define when fraud analysts can override the system and when escalation is needed. For example, require manager approval for transactions over $10,000 to override a BLOCK decision and document every override with a rationale.
Validation Steps
Test with Historical Fraud Cases:
Run 20 confirmed fraud cases through your scoring logic. Your composite risk assessment should flag at least 80% as HIGH or CRITICAL. If not, adjust your thresholds.
Measure False Positive Rates:
Track how many HOLD or BLOCK decisions are reversed after customer contact. If more than 10% are legitimate transactions, adjust your context score weighting.
Audit Decision Rationale:
Ensure your rationale field contains enough detail for a Suspicious Activity Report. Review decisions monthly to verify that each rationale explains the decision triggers.
Validate Verification Window Response Rates:
Track customer response rates within your deadline. If rates drop below 60%, review your contact method or timing.
Benchmark Detection Speed:
Measure the time from transaction initiation to decision output. If it takes longer than 500ms, optimize API performance or simplify your rule logic.
This template won't eliminate fraud, but it will standardize high-stakes decision-making when time is limited. Customize it based on your data sources and risk tolerance, and refine it quarterly as fraud tactics evolve.
