Fix the event data bottleneck slowing your business

Mediation in telecom billing is the process of collecting raw usage data from network elements—calls, data sessions, SMS, IoT events—and transforming it into clean, formatted records ready for rating and billing. It handles protocol conversion, duplicate detection, error management, and enrichment, acting as the critical bridge between network infrastructure and revenue systems.

Mediation can ingest data from 3G, 4G, and 5G network elements and functions, fixed-line infrastructure, IoT platforms, satellite networks, roaming partners, and third-party applications. It supports multiple protocols and formats—including Diameter, HTTP2/JSON, GTP, and batch file feeds—allowing operators to consolidate usage data from diverse and evolving network environments into a single mediation layer.

By capturing every billable event, validating it against business rules, and routing it accurately to rating and billing systems, mediation ensures no chargeable usage is lost or miscounted. Correlation and aggregation functions combine related events into complete billable records. Audit trails provide the transparency needed to resolve partner disputes quickly and defend billing accuracy.

The activation platform integrates with order management and billing systems via APIs and standard interfaces, creating a closed-loop flow from order capture through network provisioning to billing record creation. When an order is confirmed, activation workflows trigger automatically, and billing systems are updated in real time to reflect the active service state.

Activation platform handles multi-service activation across fixed, mobile, broadband, and 5G network functions from a single platform. Flexible workflow engines manage activation sequences for multiple service types simultaneously, supporting converged operators who need to provision bundles across network domains without maintaining separate activation systems per technology.

AI depends on complete, consistent, governed source data. CMA helps improve event-data quality earlier so your analytics and AI teams spend less time fixing inputs and more time using them.