# Royalty Data Audit & Recovery

- **Industry:** Music & Entertainment
- **Status:** Delivered
- **Key Metric:** $1.5M potentially recovered
- **Tech Stack:** Python, Claude AI, Data Analysis, Automation, Custom Tooling

## Summary

Audited years of royalty data to identify discrepancies and potentially recover $1.5M in owed payments.

## Challenge

A music industry client suspected significant underpayments in their royalty data spanning multiple years and record labels, but had no way to systematically audit the complex financial records.

## Approach

Built custom auditing tools to process and cross-reference 2 years of royalty data from multiple sources. Leveraged Claude's built-in knowledge of music royalty structures and label accounting practices to validate statements without predefined rules — it autonomously identified anomalous patterns, flagged calculation inconsistencies, and cross-checked data against industry standards. This eliminated the need to manually define every discrepancy type upfront.

## Outcome

Successfully identified $1.5M in potentially owed royalties. Delivered a comprehensive audit report with evidence documentation for the client's legal team to pursue recovery.