TELECOM
Autonomy starts with data you can trust
AI agents are taking on more decisions in network assurance and billing. To act with precision and confidence, they need exact network and usage data, and mediation operations that move at the speed of autonomy. UsageCloud Private brings Agentic Mediation into your OSS and BSS environment, with high-fidelity data for your agents and built-in agents that draft, investigate and monitor your mediation workflows.
100+
CSPs trust DigitalRoute
for mission-critical mediation
2026
TM Forum Catalyst
Autonomy Accelerator Award
120+
Countries served worldwide
480M
Subscribers served in
a high-volume CSP environment
Four Priorities Driving the Agentic Shift in Telecom
From network assurance to billing and IT operations, CSPs are exploring agentic AI to accelerate automation, unlock new revenue opportunities and reduce operational effort.
Network Autonomy
Advance closed-loop assurance and operations across network domains.
Revenue Agility
Bring new offers, usage models and partner services into the revenue chain faster.
Customer Experience
Support faster investigation of billing discrepancies and dispute resolution.
Operational Efficiency
Reduce manual investigations, handoffs and repetitive work across network and IT operations.
Autonomous Operations Demand More from Your Data
NETWORK OPERATIONS
Autonomy Needs the Full Picture
An alarm alone rarely tells the whole story. Closed-loop assurance and NOC operations need timely, correlated data across network events, counters, traces, topology and affected services to understand what’s happening and support the right response.
Billing & REVENUE
Agents Need the Usage Behind the Bill
As operators introduce AI agents to investigate billing disputes and propose adjustments, those agents need reliable context. Every contested charge must be traceable and auditable to the records behind it: usage, billing records and relevant partner charges.
IT & MEDIATION OPERATIONS
More Automation. Faster Operations.
Every new data source, vendor release and service introduces workflows to build and maintain. Failed processing runs demand investigation. As complexity grows, specialist teams need a faster way to operate mediation.
Agentic mediation
The Precision Behind Agents. The Agents Behind Mediation.
Agentic Mediation brings two capabilities together: deterministic processing that turns network and usage data into trusted, traceable records for OSS and BSS, ready for your agents, and built-in agents that develop and operate mediation alongside your teams. Your engineers remain in control of what goes live.
Trusted Data for Autonomous Operations
Validate, correlate and enrich network and usage data for your systems and agents. Deterministic processing makes results reproducible and traceable, providing a reliable basis for investigation and autonomous operations. Your OSS and BSS agents connect through MCP, under the same per-user permissions and audit.
Built-In Agents Working Inside Mediation
Built-in agents draft and test workflows, trace failed runs to their root cause and propose fixes, monitor performance and flag data-integrity issues. Your teams work with them in plain language, in the UI or from their own AI assistant through MCP. An engineer enables every change, so manual work drops and control stays with you.
One Mediation Foundation. Across BSS and OSS.
Billing & Revenue
Usage Records Your Systems and Agents Can Act On
Turn usage, roaming, interconnect and partner data into validated, deduplicated records for charging, billing, settlement and revenue assurance, with an audit of every run, on by default.
Give Your Revenue Agents the Evidence
Deliver traceable usage that your agents can use alongside billing and partner records to investigate disputed charges and identify discrepancies.
Less Time on Fallout. More on New Services.
Built-in agents investigate rejected usage, flag data anomalies and draft mediation workflows for new services.
Network Operations
Give Closed Loops the Context to Act
Turn network events, alarms, counters, traces and topology from network elements, probes and network management systems into validated, correlated data for assurance, NOC operations and your AI agents.
Connect Events to Their Context
Connect network events with performance, topology and service context, giving assurance systems and agents a more complete picture of what’s happening.
Absorb Network Change Faster
When a vendor release or new counter set arrives, built-in agents draft the format and schema change from a sample of the new data, and investigate failed processing runs.
What Agentic Mediation Does for Your Business
Accelerate autonomous operations, protect revenue and reduce the cost and effort of mediation as networks, services and usage volumes evolve.
01
Faster Network Investigation and Response
Give your assurance platforms and NOC agents correlated network and service context, so they reach the root cause sooner and take fewer wrong actions.
02
Faster Launch of New Services
Onboard new data sources, usage models and partner integrations faster. Built-in agents accelerate workflow development, so new services such as network APIs and IoT offers launch faster.
03
Revenue Protected at the Source
Rejected usage is fixed at the source and reaches billing instead of waiting in quarantine. Built-in agents investigate billing fallout, identify root causes and propose fixes for human approval.
04
Scale Without Scaling Cost
Process growing usage volumes with a smaller infrastructure footprint and less manual effort. Higher throughput per pod, automatic horizontal scaling and built-in agents reduce the cost of running mediation.
05
Stay in Control
Engineers enable every change. Built-in agents act as a named user with that user’s permissions, every action is on record, and AI models can run inside your own cluster, fully air-gapped if required.
Agentic Mediation in Practice
UsageCloud Private turns usage and network data into high-fidelity records, ready for your agents in OSS and BSS. Its built-in agents draft, investigate and monitor mediation workflows and people decide what goes live.
Built on Open Standards. Proven with the Industry.
Part of the TM Forum ODA Ecosystem
DigitalRoute is a TM Forum member and part of the Open Digital Architecture ecosystem, working with the standards, architecture and industry collaboration that make telecom systems more open and interoperable.
Tech for Good Award 2025
DigitalRoute contributed to SATCOM with an Edge – Phase III, recognized with the Tech for Good award at TM Forum’s 2025 Open Innovation Awards. The Catalyst demonstrated how satellite and terrestrial providers can deliver integrated digital services using TM Forum’s open standards and APIs.
Autonomy Accelerator Award 2026
The Agentic NOC: AI-native operations for the autonomous telco earned the Outstanding Catalyst – Autonomy Accelerator Award at TM Forum’s DTW Ignite 2026. With DigitalRoute as a project partner, the Catalyst demonstrated how trusted network data and AI agents support intelligent fault management and closed-loop automation, advancing the journey toward autonomous networks.
“The advantages of using DigitalRoute continue to be significant. Today, we have fewer systems and databases to maintain. The architecture has been simplified and we continue to become more efficient.”
— Manager, Mediation Application Development, Vodacom
Data Mediation has Been Evolving for 25 years. So Have We.
Telco invented large-scale data mediation. DigitalRoute has been at the forefront of its evolution from call data records to convergent charging to real-time AI data operations.
2000s
BATCH
Collect, decode, bill
CDR files collected from switches, normalized and delivered to billing in scheduled runs.
2010s
REAL-TIME
Usage in seconds
Streaming events, online charging and convergent usage across mobile, fixed and IoT.
2020s
CLOUD-NATIVE
Elastic by design
Microservices on Kubernetes. Scale out, CI/CD, blue/green and canary deployments.
2026
AGENTIC
Mediation built for agents
Built in agents draft, investigate and monitor; people decide what goes live
See Agentic Mediation in Action
Choose where to start below, and we’ll show you how it works: data your OSS and BSS agents can act on, built-in agents that draft, investigate and monitor your workflows, and your own AI tools connected through MCP.
FAQ
Common Questions
Agentic Mediation is deterministic processing of high-fidelity usage and network data that AI agents can monitor, manage and consume. In telecom, it turns network events and usage records into trusted data for OSS and BSS systems, ready for the agents that work with them. Built-in agents draft new workflows, resolve fallout faster and work with your own AI tools, while people decide what goes live.
Agentic Mediation gives closed loops complete, correlated context to act on. OSS mediation collects events, alarms, counters, traces and topology from multi-vendor network elements, probes and network management systems, normalizes vendor formats and correlates events across domains. When a vendor release or new counter set arrives, built-in agents draft the format change from a sample. Your assurance systems, agents and teams decide the action.
Agentic Mediation turns raw usage into complete, deduplicated records for charging, billing, settlement and revenue assurance, with an audit of every run, on by default. That makes billing mediation records ready for the agents that investigate disputes and discrepancies. Built-in agents find the root cause of rejected usage and propose a fix and draft the mediation for new services, such as network APIs and IoT offers.
Four built-in agents in UsageCloud Private take on the work around mediation. Build drafts and tests workflows from a description or specification. Ops finds the root cause of fallout and proposes a fix. Platform Autopilot watches throughput and performance, and Data Integrity spots data issues as records arrive. A person reviews and enables every change before it goes live.
Agentic Mediation keeps the deterministic processing of traditional telecom mediation and changes who does the work around it. In traditional mediation, specialists build each format and workflow, trace fallout through logs and quarantine, and answer disputes by reconstructing what was processed. In Agentic Mediation, built-in agents draft, investigate and watch, an audit records every run, and people decide what goes live.
A person enables every change. In UsageCloud Private, agents save changes switched off, act as a named user with that user’s permissions, and every action is on record. The MCP server, which connects your own AI tools, is off by default and never bypasses per-user permissions and audit. Operators choose their AI models, including models inside their own cluster.
Operators should assess whether their mediation can operate as part of autonomous and agentic operations. That takes two things. First, data that agents can trust: complete, exact, telecom-native and reproducible, so every agent decision can be explained and audited. Second, mediation that agents can work with: open to agents through a standard interface, with people in charge of every change, and able to scale with demand. Mediation must also onboard new network functions, counter sets and services as fast as autonomy and new offers require, and that’s where built-in agents take on the work.