Matching Engine News
Moving beyond reports: how the Matching Engine AI Module improves access to rights data
20 Apr 2026 | 3 mins read
Access to accurate, timely data is central to effective copyright management. Whether investigating unmatched works, reviewing attribution information or responding to member queries, users need quick access to repertoire and usage data to understand what has happened and why.
Traditionally, this information has been accessed through reports, dashboards and specialist data queries. While these tools remain important, obtaining answers can involve multiple steps, ongoing report maintenance and support from technical teams.
The Matching Engine AI Module provides a more direct way to work with data. By enabling users to interact with repertoire and usage data through an AI assistant, it gives operational teams direct access to the information they need without relying on custom reports, dashboards or ongoing IT support. Users can investigate discrepancies, analyse data and uncover insights using natural language queries, making it easier to answer questions as they arise.
Reducing reliance on custom reporting
Reporting remains an important part of copyright management, but building and maintaining reports can place significant demands on both business and technical teams.
The AI Module helps reduce this dependency by putting information directly in the hands of users. Instead of waiting for a report to be created, updated or modified, teams can query data in real time and retrieve the information they need when they need it.
Matching Engine estimates that the AI Module can reduce the number of reports and custom queries required by more than 50 per cent, helping organisations spend less time managing reporting requirements and more time resolving operational issues.
Reducing the time between discovery and resolution
Access to information is often the first step in resolving an issue.
By making repertoire and usage data more accessible, the AI Module helps users identify matching and attribution issues more quickly, improving visibility across payments and supporting accurate royalty distribution. Work that previously took days can now be completed in minutes using real-time data.
This not only improves operational efficiency but also helps ensure creators and rights holders receive the payments they are entitled to, with greater transparency throughout the process.

