Agent StoreBillingBilling Data Migration
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Billing System Migration Agent

BillingBilling Data Migration

Migrates customer billing records, payment methods, and invoice history from a legacy billing platform to a new system while validating data integrity at every stage.

4
Process steps
5
Integrations
3
Data inputs

Migrating from one billing platform to another is one of the highest-risk operations a finance and engineering team can undertake, because a single mapping error can misprice thousands of active subscriptions, lose payment method tokens, or corrupt historical invoice records needed for tax and audit purposes, and manual migration scripts built under deadline pressure often skip thorough validation in favor of hitting a go-live date

Companies frequently discover data integrity problems only after go-live, when customers start reporting incorrect balances or failed payments on accounts that worked fine the day before

This agent runs the migration in a validated, staged manner: it extracts and transforms data from the legacy system according to a documented field mapping, loads it into the new platform in a sandbox environment first, runs exhaustive record-by-record validation comparing source and destination values, and only promotes the migration to production once validation passes a defined accuracy threshold

It maintains a full rollback capability and a detailed exception log for any record that couldn't be automatically migrated

The agent extracts customer, subscription, payment method, and invoice history records from the legacy billing platform, applies a documented field mapping to transform them into the destination system's data model, and loads the transformed data into a sandbox instance of the new platform first. It then runs an automated record-by-record comparison between source and sandbox-loaded destination data, calculating a match accuracy score, and only proceeds to production load once accuracy exceeds the required threshold, holding any records that fail validation in an exception queue for manual resolution before their eventual migration.

1

Extract and Map Legacy Data

  • Extract customer, subscription, payment method, and invoice records from the legacy system
  • Apply the documented field mapping to transform data to the new schema
  • Handle payment method token re-vaulting through the payment processor's migration API
  • Flag records with data quality issues or missing required fields
Outcome: Legacy data is extracted and transformed, ready for staged loading.
2

Load and Validate in Sandbox

  • Load transformed data into a sandbox instance of the new billing platform
  • Run record-by-record comparison between source and destination values
  • Calculate an overall migration accuracy score
  • Identify and categorize any records that fail validation
Outcome: Migration accuracy is proven in a safe environment before any customer is affected.
3

Resolve Exceptions and Promote to Production

  • Route failed validation records to a data specialist for manual resolution
  • Re-validate corrected records before inclusion in the production load
  • Promote the validated dataset to the production billing platform
  • Snapshot the full pre-migration legacy state for rollback capability
Outcome: Only fully validated data reaches production, with a safety net if issues surface later.
4

Monitor Post-Migration Stability

  • Monitor the first billing cycle on the new platform for anomalies
  • Compare post-migration invoice output against expected pre-migration figures
  • Track customer-reported issues tied to the migration
  • Confirm rollback readiness through the defined stabilization window
Outcome: The migration is confirmed stable in production before rollback capability is retired.
Recurly
sources legacy billing platform data for extraction
Chargebee
receives the migrated and validated dataset
Stripe
re-vaults payment method tokens across platforms
Snowflake
stages transformed data for validation comparison
Jira
tracks exception records requiring manual resolution