Infrastructure for Vendor Payment Optimization & Fraud Prevention

How data is organized into queryable, relational formats

• Vendor master data schema with canonical vendor identifiers, bank account details, payment terms, early payment discount schedules, and duplicate detection keys maintained under change-control
• Invoice-to-PO-to-receipt three-way match schema with tolerance rules for quantity and price variances formally defined so the AI applies consistent approval or exception routing logic

How explicitly business rules and processes are documented

• Payment fraud signal taxonomy defining behavioural anomalies (new bank account, invoice amount just below approval threshold, duplicate invoice number, IBAN mismatch) as structured detection rules

Whether operational knowledge is systematically recorded

• Vendor payment history capture at invoice granularity including payment method, settlement date, discount captured, and hold reason to support cash flow optimisation modelling

Whether systems share data bidirectionally

• Treasury cash position feed providing current and forecast available balances so the payment timing optimiser can balance early-payment discount capture against liquidity constraints

How frequently and reliably information is kept current

• Vendor change request review process with identity verification step and dual-approval requirement before bank account or payment term updates take effect in the master record