Live
AI Governance in Payment Card Operations — The 2026 Framework
The foundational article. Why payment card operations need a dedicated AI governance framework — and what one looks like built on NIST AI RMF, COSO GenAI, and ISO 42001.
Advisory Services
What I do in payment card governance
Every engagement starts with a conversation and ends with a written deliverable you own. No vendor relationships. No preferred processor. Just forensic analysis and honest findings.
Blended Rate Diagnostic
Forensic decomposition of your blended interchange rate — separated by category, card type, transaction type, and price-driven variance. Identifies what's optimizable and what's structural.
- 12-month interchange category analysis
- Fixed vs variable interchange separation
- Card mix trend analysis
- Fuel price variance isolation
- Written report with findings and recommendations
Level 2/3 Data Capture Review
Assessment of Level 2/3 data qualification rates on commercial fleet card transactions. Identifies the gap between eligible and qualifying volume — and the annual savings opportunity.
- Qualification rate by card category
- Processor capability assessment
- Savings opportunity quantification
- Implementation roadmap
Settlement Optimization Review
Analysis of settlement timing qualification rates and downgrade patterns. Identifies interchange leakage from transactions settling outside qualification windows.
- Downgrade rate by interchange category
- Settlement timing gap analysis
- Processor infrastructure assessment
- Basis point savings quantification
AI Governance Framework
Governance framework for AI systems deployed in payment card operations — risk assessment, controls design, monitoring protocols, and board-level reporting structure.
- AI risk assessment for payment operations
- Controls design and documentation
- Anomaly detection governance protocols
- Regulatory compliance mapping
Debit Routing Review
Post-Durbin Amendment debit routing analysis. Reviews network routing decisions by transaction to identify least-cost routing opportunities and compliance gaps.
- Network routing report analysis
- Least-cost routing gap identification
- Durbin Amendment compliance review
- Processor agreement assessment
Forensic Process Review
Full forensic review of payment card acceptance operations — controls, anomaly signals, gift card volume ratios, chargeback patterns, and vendor agreement compliance.
- Controls gap identification
- Gift card anomaly ratio analysis
- Chargeback pattern forensics
- Vendor agreement compliance review
Payment Card AI Governance Series
Research and analysis
A five-article series on AI governance in payment card operations — written from the perspective of someone who actually ran a $36B payment card operation, not a consultant who studied one.
01
02
Live
The Art of the Blended Rate — What AI Can and Can't Fix
Forensic decomposition of the blended interchange rate — the four-party model, fixed vs variable interchange, the fuel price problem, and what AI genuinely optimizes vs what no algorithm can predict.
03
Coming
Process Reviews in Payment Card Operations
What a forensic process review of a payment card operation actually looks like — methodology, what it finds, and how it differs from a standard audit.
04
Coming
Handling Findings Professionally
How to handle interchange anomalies, processor discrepancies, and control gaps professionally — documentation, escalation, and remediation strategy.
05
Coming
Who's Watching the AI That Watches Your Payments?
The governance gap in AI-powered payment card optimization platforms — what they don't tell you, what you need to govern, and how to build oversight that actually works.
Credentials
Why payment card governance — specifically
Advisory is only as good as the underlying experience. Here is the payment card specific background.
$36B Annual VolumeNorth American payment card operations oversight — consumer, commercial, and fleet programs
Four-Party ModelDirect experience with cardholder, acquirer, network, and issuer relationships at scale
Fleet Card OperationsDeep expertise in fuel interchange, fleet card programs, and Level 2/3 data optimization
Blended Rate AnalysisForensic decomposition of interchange across dozens of categories and card types
CPA (Ret.) — TexasOhio State University BSBA Accounting · 25+ years forensic financial analysis
CFE — Certified Fraud ExaminerAnomaly detection, gift card fraud signals, chargeback pattern analysis
Lean Six Sigma Green BeltProcess optimization methodology applied to payment card operations
AI Governance FrameworksNIST AI RMF · COSO GenAI · ISO 42001 · FAIG framework founder
Get Started
How to engage
Every engagement starts with a conversation. Tell Monte what you're looking at and he'll tell you honestly what a forensic review would find — and what your options are.
WhatsApp — fastest response
Message Monte directly. Describe your situation — interchange cost concerns, blended rate movement, AI platform evaluation, or process review need. He responds personally.
WhatsApp Monte →Send a brief description of your situation and Monte will respond within one business day with an honest assessment of whether and how he can help.
vcanalytics@pm.me →Start with a blended rate diagnostic
If your interchange costs are moving and you don't know why — a forensic blended rate decomposition is the starting point. Written deliverable. No vendor agenda. Based on real payment card operations experience at scale.
vcanalytics@pm.me · +63 917 798 1959 · Makati, Philippines · Available worldwide