Technology Stack

AI Risk Engine

AI Risk Engine

Extraction normalization reconciliation and alerts

Ingest and normalization

Secure intake of PG and bank settlement events and ERP and POS snapshots. Store in versioned object storage and apply schema checks.

 

Features and models

  • Field extraction from documents and exports

  • Time series anomalies for sales and refunds

  • Hybrid policy rules and gradient boosted models to produce riskScore and riskGrade

 

Inference

Online checks target low latency while batch windows handle large reconciliation jobs.

 

Explainability and MLOps

  • Reason codes and top drivers for each alert

  • Drift checks snapshots and rollback with human in the loop

 

Output to RVA

Scores grades and reasons feed the RVA builder and may later be referenced by partners under their own frameworks.

 

Project summary

This site shares work in planning and is for information only; products and services may change or not launch, nothing here is an offer or advice, no custody or transfer of funds, approvals and payouts are determined by partners under their own policies and regulations, and availability may vary by jurisdiction.

This site shares work in planning and is for information only; products and services may change or not launch, nothing here is an offer or advice, no custody or transfer of funds, approvals and payouts are determined by partners under their own policies and regulations, and availability may vary by jurisdiction.