Infrastructure for Intelligent Cash Flow Forecasting

How explicitly business rules and processes are documented

• Documented cash flow categorization policy with formalized definitions for operating, investing, and financing flow types, and intraday settlement timing conventions as structured rules

How data is organized into queryable, relational formats

• Standardized schema for cash transaction records capturing counterparty identifiers, settlement dates, flow category codes, and originating system references as queryable fields

Whether operational knowledge is systematically recorded

• Systematic capture of accounts receivable aging buckets, accounts payable payment schedules, and inter-entity transfer confirmations into structured time-series records

Whether systems expose data through programmatic interfaces

• Query access to bank account balances, payment system confirmations, and treasury management system records via standardized data feeds at required forecast cadence

How frequently and reliably information is kept current

• Scheduled monitoring of forecast accuracy by horizon with detection of systematic bias in short-term versus medium-term predictions and cash category segments

Whether systems share data bidirectionally

• Point-to-point connections between forecasting model, treasury management system, and investment platform sufficient to pass positioning recommendations and actual settlement confirmations