USAGECLOUDTM PRIVATE
Mediation Reimagined for the Agent Era
When agents run on your data, the data runs your business. UsageCloud Private delivers high-fidelity usage and operational data in real time, deterministic and traceable, so agents act with precision and speed. Built into the platform, AI agents take on the routine work of mediation, from drafting workflows to investigating failures and monitoring the data, while people decide what goes live.
5–30x
Faster, and scales out
Git
Every change is a commit
100%
API & GUI parity
Any K8s
Kubernetes environment supported
Businesses are Handing Decisions to Agents.
Operators Plan for Autonomous Networks
81% of operators aim for Level 4 autonomous networks or above by 2030
AI Becomes the Norm in Finance
Active AI use in finance rose from 30% in 2024 to 75%
Source: KPMG, Global AI in Finance 2026
IT Moves to Agents
40% of large organizations now scale AI agents, often in IT and software engineering.
More Data. More Decisions. Less Room for Error.
AI agents are moving into operations and revenue-critical workflows. Usage volumes are growing. And the expectations for speed, accuracy and control are rising with them.
When agents act on incomplete or inconsistent records, the consequences can reach from operations to billing and revenue. Data needs to be complete, consistent and traceable to its source.
As data sources and workflows multiply, building workflows for new data sources and investigating failures by hand slow teams down. AI-assisted development and operations let agents take on the routine work, so teams review instead of building from scratch.
More events, more sources and unpredictable peaks put pressure on infrastructure and operating costs. Capacity needs to follow demand, without adding unnecessary overhead.
Greater automation cannot come at the expense of security, governance or control. You decide where data is processed, what agents can access, and who approves every change they propose.
Meet UsageCloud Private
UsageCloud Private is Agentic Mediation. It collects, decodes, enriches and validates usage and operational data deterministically, and streams it to your systems and agents. Built-in agents draft workflows, investigate failed runs, and watch the platform and the data. Your team reviews what they propose and decides what goes live.
Give Agents Data They Can Act On
Agents act on whatever data they’re given. UsageCloud Private turns raw usage and operational data into a trusted, real-time foundation for agents and the systems they work with.
Trust What’s Behind Every Decision
Every record is validated, normalized and accounted for. Missing or incomplete data is flagged rather than hidden, so agents and downstream systems can work from consistent, reliable information.
Act on the Full Picture, in Real Time
Bring network, IT and business data together into correlated records, streamed with predictable latency. Give agents the context they need to detect issues, respond to events and support decisions as they happen.
Trace the Data Behind Every Action
Follow processed records back to the run that produced them, with counts of what each step handled. Deterministic processing produces repeatable results, giving teams the evidence to investigate exceptions, verify data and support audits.
Agents built in. People in charge
Go from building workflows to resolving issues with less manual effort. Four built-in AI agents help your team develop, troubleshoot and monitor mediation, while your team stays in control of what goes live. Build and Ops also work from the AI assistant your team already uses, through MCP.
BUILD
From Specification to Tested Workflow
Turn a short description or detailed specification into a validated workflow. The agent drafts and tests it, ready for your engineers to review and enable.
OPS
Find the Cause. Get to the Fix.
Stop searching through logs and failed records to piece together what went wrong. The agent investigates failed runs, identifies the root cause and proposes a fix, so rejected usage reaches billing instead of waiting in quarantine.
PLATFORM AUTOPILOT
Catch Bottlenecks Before They Disrupt Operations
Stay ahead of slowdowns as workloads change. The agent monitors throughput and workflow performance, flagging potential bottlenecks before they put SLAs at risk.
DATA INTEGRITY
Spot Data Issues Before They Become Revenue Problems
Find incomplete records, unusual volumes and patterns that could signal leakage or fraud. The agent monitors incoming data and flags risks early, giving revenue assurance teams a head start on investigation.
Work From the AI Assistant You Already Use
Connect your preferred MCP-compatible assistant to UsageCloud Private. Investigate runs, inspect workflows and draft new ones through the MCP server, using the same access controls as the platform.
Your Rules. Your Approval.
Agents operate within your existing access controls. Changes are saved for human review, and your team decides what gets enabled. Every action is recorded in the audit trail.
Grow Volumes, Not Costs.
AI, IoT and always-on services keep usage growing. UsageCloud Private grows by adding pods, not bigger servers, and keeps processing through peaks and failures.
01
Always On
Active-active: every node live, every node sharing the load. Failover is just redistribution, no standby to wake, no switchover to survive.
Every pod does live work and shares the load, so losing one doesn’t stop processing. Recovery is near-zero, with no standby to switch over to.
02
More Work per Pod
The same volume runs on a smaller footprint, so you need less infrastructure for the same workload.
03
Handles Peaks Without Restarts
Aggregation and duplicate-check state stays on disk with a fixed memory limit, so a traffic peak costs disk reads, not a restart.
04
Capacity Follows Demand
Kubernetes autoscaling adds pods as volume grows, and workflows rebalance across them on their own. You add capacity when you need it, not up front for peak.
05
Any Java Developer Can Contribute
Workflows are written in standard Java, so you hire from a large talent pool and AI coding assistants can help. Existing APL logic converts to Java on import.
06
Upgrades Without Downtime
Old and new versions run side by side during an upgrade, so new capabilities roll out while processing continues, with fewer regressions.
Your Infrastructure. Your Data. Your Rules.
Run UsageCloud Private in the Kubernetes environment you choose, in your private cloud, in your own public cloud account, or hosted and managed by a partner. Get cloud-native scalability and AI-assisted operations without giving up control of where data is processed, who operates the platform or which models your agents use.
01
Run Mediation Where Your Data Lives
Keep high-volume processing close to the networks, applications and business systems it serves. Deploy on the Kubernetes environment you choose and work with your existing identity, monitoring and Git-based development tools.
02
Keep Sensitive Data Within Your Boundaries
Control where subscriber, transaction, meter and operational data is processed and stored. Single-tenant deployment lets your organization apply its own security policies, access controls and data residency requirements.
03
Bring AI Under Your Governance
Use AI models hosted inside your own environment, including fully air-gapped deployments. Control what agents can access and what they can change, with human approval for every change that goes live.
Agentic Mediation Where Control Matters
Enterprises in data-sensitive and highly controlled environments need the benefits of agentic operations without giving up control of deployment, access, security, or data boundaries. UsageCloud Private brings agentic mediation into the environment your business chooses and controls.
Telecom and CSPs
Operators are moving toward more autonomous assurance and operations. That puts more decisions in the hands of agents and more pressure on the data behind them. Those agents need real-time network and usage data that is complete, correlated across domains, and traceable back to source.
Financial services
Financial institutions are putting AI into more operational and financial decisions. Those decisions need data that can be explained, checked, and defended. Agents need complete, deduplicated transaction and usage data, governed by the same access controls and audit requirements as the rest of the business.
Utilities and energy
Utilities are bringing AI into grid, field, and operational workflows where IT, OT, meter, and IoT data have traditionally lived apart. Agents need a complete operational picture without breaking the data boundaries, sovereignty requirements, and controls those environments depend on.
What Agentic Mediation Does for Your Business
Bring trusted data, AI-assisted operations and enterprise control together to launch faster, protect revenue and run mediation more efficiently.
Launch New Services Faster
Turn new data sources, partner integrations and product requirements into tested workflows faster. AI agents draft and validate the workflows, so your engineers can focus on reviewing and refining rather than building from scratch.
Protect Revenue at the Source
Stop rejected usage from getting stuck outside billing. AI agents investigate failed records, identify root causes and propose fixes at the source, helping more billable usage reach downstream systems without unnecessary delays.
Scale Without Scaling Cost
Process growing usage volumes with a smaller infrastructure footprint and less manual effort. Higher throughput per pod, Kubernetes-native scaling and AI-assisted operations help reduce the cost of running mediation.
Stay in Control
Put AI to work within your security and governance boundaries. Agents operate under existing access controls, workflow changes require human approval, and actions are logged for audit. Run AI models in-cluster, fully air-gapped if required.
One Data Foundation. Across Revenue and Operations.
From billing and revenue assurance to AI-driven operations, UsageCloud Private turns raw usage and operational data into accurate, traceable information that teams, systems and agents can act on.
REVENUE OPERATIONS
Get Every Billable Event to the Right System
Keep usage flowing accurately into billing, charging, ERP and partner settlement systems. Records are validated, deduplicated and tracked from source to destination. When usage is rejected, AI-assisted investigation helps teams find and resolve the cause, so rejected usage reaches downstream systems instead of waiting in quarantine.
AI-LED OPERATIONS
Give AI Agents the Full Operational Picture
Feed AIOps, service assurance and NOC platforms with real-time, correlated network and operational data. Give agents reliable context to detect issues, investigate anomalies and support faster decisions, while built-in agents monitor mediation performance and flag emerging bottlenecks.
REVENUE ASSURANCE
Find the Gaps. Trace the Cause.
Know what came in, what went through and what didn’t make it out. Built-in run records and data-integrity monitoring help teams identify missing, incomplete or unusual usage, trace exceptions and investigate potential revenue leakage before it becomes a larger problem.
See Agentic Mediation in Action
Choose the scenarios that matter most to your team. We’ll show you how UsageCloud Private handles familiar mediation tasks with built-in agents, MCP connectivity and human control.
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The Right Fit for Your Environment and Operating Model
Choose how you deploy: SaaS operated by DigitalRoute, a single-tenant deployment on any Kubernetes environment (self-operated, partner-hosted or fully managed), or on-premises on your own VM and physical infrastructure. Compare where each runs, who operates it and what’s built in.
FAQ
Common questions.
UsageCloud Private is DigitalRoute’s Agentic Mediation platform: deterministic processing of high-fidelity usage and operational data that AI agents can monitor, manage and consume. It collects data from network, IT and business sources, validates it, and streams it to billing, operations and analytics systems and to AI agents. UsageCloud Private is Kubernetes-native, single tenant, and runs in the environment you choose.
Agentic Mediation is data mediation built for a world where AI agents act on usage and operational data. The processing stays deterministic, so the same input always produces the same traceable output. AI agents help build and operate the mediation, and people decide what goes live. DigitalRoute delivers Agentic Mediation with UsageCloud Private.
UsageCloud Private 6 includes four AI agents. Build drafts and validates workflows from a description or specification. Ops investigates failed runs using record counts, logs and quarantine, and proposes a fix. Platform autopilot watches the platform for bottlenecks and slow workflows. Data Integrity watches incoming data for malformed or incomplete records, unusual volumes and possible fraud.
Not without a person. Agents in UsageCloud Private save every change switched off, and a person reviews and enables it. Each agent acts as a named user with that user’s permissions, and every action is recorded in the audit trail under that name, so your team decides what goes live.
Any MCP-compatible assistant, such as Claude, ChatGPT or Copilot, can connect to UsageCloud Private through its MCP server, and so can your own agents, under your existing access controls. The built-in agents run on any OpenAI-compatible model, including models hosted inside your own Kubernetes cluster, fully air-gapped if required.
Only if you choose a model outside it. UsageCloud Private is single tenant and runs in your environment. When the built-in agents use a model hosted inside your own cluster, usage and operational data stays inside your perimeter, and the setup can run fully air-gapped. If you connect an external model or assistant, your access policies decide what it can reach.
UsageCloud Private runs on any Kubernetes environment, managed or self-hosted: on premises, in a private cloud, or in your own public cloud account. It is single tenant, so each installation serves one organization. You decide who operates it, and DigitalRoute provides the software, updates and support. For SAP customers, the same software is available as SAP Revenue Data Orchestration by DigitalRoute, run by SAP on RISE with SAP.
Yes. UsageCloud Private turns network and service data into normalized, validated records once, and streams the same records in real time to AIOps, analytics, service assurance and NOC tools as well as to billing. Operations get consistent context for monitoring and automation, and operations and finance work from the same view of service activity.
UsageCloud is DigitalRoute’s SaaS platform, operated by DigitalRoute. UsageCloud Private is single tenant and runs in the Kubernetes environment you choose, for organizations whose compliance, data sovereignty or operating model requires it. The capability comparison on this page shows what each includes.
No. UsageCloud Private mediates the usage and operational data that billing, charging, ERP and finance systems depend on. It delivers that data complete, deduplicated and traceable, so those systems and teams can bill, reconcile and report with confidence.