Data Migration & Integration Engineering for Scalable Revenue Operations

Data profiling, cleansing strategy, future-state mapping, transformation rules, exception handling, and logic for in-flight deals, renewals, and amendments.

AI agents analyze source data profiles and existing transformation logic to surface mapping gaps, data quality issues, and exception patterns before build begins — so practitioners can make informed decisions about cleansing strategy and transformation rules from structured analysis rather than manual inspection alone. Ravus practitioners own every mapping decision, validate transformation logic, and determine how edge cases, in-flight deals, and legacy exceptions are handled.

ETL development, repeatable migration runbooks, iterative test migrations, reconciliation reporting, and variance review.

This is where the agent-assisted delivery model provides the most direct value in migration work. AI agents generate test scripts, expand regression coverage across large and complex data sets, run iterative comparisons between source and target outputs, and identify anomalies that would be difficult to surface through manual review alone — particularly across high-volume records, complex pricing structures, and multi-entity environments. Ravus practitioners own QA judgment, defect disposition, and acceptance decisions at every test iteration. Broader coverage means more anomalies caught earlier, fewer surprises in reconciliation, and more confidence that what is being tested actually represents production conditions.

Production migration planning, billing pause/restart coordination, post-cutover validation, and support for stable go-forward operations.

During parallel bill runs, AI agents compare outputs between source and target environments, classify variances by type and severity, and accelerate the reconciliation process — so practitioners can direct their time toward materiality judgments and remediation decisions rather than manual output comparison. Ravus practitioners determine which variances require resolution before cutover, approve remediation approaches, and own all go-forward continuity decisions.