Billing Data Validation Agent
Runs pre-invoice data quality checks across customer, pricing, and usage records to catch missing fields, stale rates, or malformed data before it reaches a finalized invoice.
Bad data upstream, a missing tax ID, a stale price book reference, a null quantity field, an outdated billing address, routinely slips through into finalized invoices because most billing pipelines are built to process whatever data they receive rather than validate it first, and the resulting errors are usually caught only when a customer complains or an invoice bounces
Cleaning this up after the fact is far more expensive than catching it before generation, requiring void-and-reissue procedures and customer-facing corrections
This agent runs a comprehensive set of data quality checks against every account and line item scheduled for invoicing before the billing run executes, validating required fields are present, pricing references are current, quantities and amounts fall within expected ranges, and cross-referencing account status against the billing eligibility rules
Records that fail validation are held out of the run and routed to the appropriate team for correction rather than being invoiced with bad data
Before each billing run, the agent pulls the full set of accounts, subscriptions, and usage records scheduled for invoicing and runs them through a configurable rules engine checking for missing required fields, stale or invalid pricing references, quantity and amount range anomalies, and account eligibility status. Records passing all checks proceed to invoice generation; records failing any check are excluded from the run and logged to an exception queue with the specific validation failure, and a summary report is generated showing what was held and why before the run is authorized to proceed.
Pull Pre-Billing Dataset
- Gather all accounts, subscriptions, and usage records scheduled for the billing run
- Pull the current pricing and tax reference data for cross-validation
- Confirm account status and billing eligibility flags
- Establish the baseline record count expected for the run
Run Data Quality Checks
- Validate required fields are present and correctly formatted
- Check pricing and tax references against current, active rate tables
- Flag quantity or amount values outside expected historical ranges
- Cross-check account status against billing eligibility rules
Hold and Route Failures
- Exclude records failing any validation check from the current run
- Route each failure to the appropriate owning team with the specific issue noted
- Prioritize failures by dollar impact and customer tier
- Track failed records until corrected and cleared for the next run
Report and Authorize the Run
- Generate a summary report of records held versus passed
- Provide billing operations a clear go/no-go signal for the run
- Track validation failure trends over time by category
- Feed recurring failure patterns back to upstream data owners