AI for Payments and Fintech That Runs at Transaction Speed
Payment processors, PSPs, and financial platforms move money at scale and need AI that operates at the same speed — detecting fraud in milliseconds, predicting churn before it happens, and reconciling complex payment flows automatically. Explainable, auditable, and built to DNB standards.
The challenges that scale creates for payment intelligence
Rules-based fraud detection and manual reconciliation work until they don't — and for platforms processing millions of transactions, the failure point arrives quickly. ML models trained on your own transaction history outperform generic rules and improve continuously.
We build models that pass internal risk and compliance review — with full explainability, audit logs, and model documentation included as part of delivery. Not retrofitted after the fact.
Payment fraud at scale
Payment platforms and PSPs process millions of transactions across dozens of payment methods. Rules-based fraud detection creates too many false positives and misses novel attack patterns that only ML can identify.
Subscription churn and revenue leakage
Subscription-based financial platforms face silent churn — customers who stop using the product before they cancel. Identifying them early requires behavioural ML models, not lagging usage metrics.
Reconciliation across fragmented payment flows
Businesses accepting 40+ payment methods, POS terminals, and digital channels generate reconciliation complexity that manual processes cannot handle at speed. Errors compound into costly discrepancies.
Merchant intelligence and risk scoring
Payment providers onboarding merchants need fast, accurate risk assessment. Manual review processes are slow and inconsistent — creating both compliance risk and poor merchant experience.
What we build for financial services and fintech
Payment Fraud Detection
Real-time ML models that analyse transaction patterns across payment methods, merchants, and customer behaviour — flagging suspicious events for review with explainable signals, not black-box scores.
Chargeback Prediction & Prevention
Predictive models that identify transactions with elevated chargeback risk before settlement — enabling targeted friction or cancellation to protect merchant and platform revenue.
Subscription & Recurring Payment Intelligence
ML-based churn prediction for recurring payment customers — identifying at-risk accounts before they cancel, with segment-level insights for retention campaign targeting.
Automated Reconciliation
AI-assisted matching of payment flows across channels, acquirers, and currencies — catching discrepancies faster and reducing the manual effort of end-of-day and end-of-month close.
Merchant Risk Scoring
Automated risk scoring for merchant onboarding and ongoing monitoring — combining business data, transaction history, and public signals to accelerate approval while maintaining compliance.
POS & Terminal Anomaly Detection
Operational intelligence for POS terminal networks — detecting device failures, connectivity issues, and settlement anomalies across hundreds or thousands of terminals without manual monitoring.
Laten we uw uitdagingen rondom betalingsintelligentie bespreken
Vertel ons uw fraudecijfer, reconciliatieproblemen of churnprobleem. Wij schetsen wat haalbaar is met uw bestaande transactiedata en hoe een realistische implementatie eruitziet.
Plan een gratis kennismakingsgesprek