Business Assurance Suite
Ensuring Accuracy. Protecting Margins.
Driving Growth
Subex’s Business Assurance helps protect against revenue leakage, cost inflation, and margin erosion, while safeguarding customer experience. With workflows extended by native AI, it expands coverage and helps ensure completeness, validity, accuracy, and timeliness.
More than 150 bn transactions processed daily
Protecting CSPs across the classical usage, non-usage, retail, wholesale, enterprise, B2B2X, to non-telco: fintech, gaming, energy, healthcare industries
More than 1.1 billion subscribers protected by Subex’s BA solutions
*based on Subex TRACI survey
Genuine Protection. AI-first Capabilities.
Subex Business Assurance embeds AI across the assurance lifecycle-from risk discovery and control design to investigation and resolution. It helps teams detect more, focus on material risks and act faster, with explainable outputs and human oversight.
Identifies unknown leakage patterns and emerging risks across usage, charging, billing, payments and partner data – not only issues covered by predefined rules.
Recommends control logic, thresholds and priorities based on data patterns, operational changes and analyst feedback, helping assurance keep pace with evolving services.
Correlates related exceptions, explains why they were flagged and recommends next-best checks, accelerating root-cause analysis and reducing manual effort.
Automates triage, prioritization and repeatable case actions within defined guardrails, while preserving human oversight, audit trails and model-performance monitoring.
Key Differentiators
- Traditional Revenue Assurance System
-
Slow, complex onboarding of new data sources.
-
Limited assurance coverage across lines of business.
-
Not designed for AI-driven assurance use cases.
-
Struggles with large data volumes and fast analysis.
-
Limited visibility into end-to-end case workflows Difficult onboarding of data sources.
- Subex’s Business Assurance System
-
Increase speed data ingestion can be realized fast, reducing time to onboard.
-
Enhanced coverage RA/BA coverage growth is realized in a cost-effective manner.
-
Explainability provides ability to easily enable AI use cases aimed at improving BA controls’ effectiveness.
-
Enhanced scalability enables analyzing large volumes of data and generating insights.
-
Case management recommendations Provides suggestions on “how to move forward” while investigating a particular transaction/fraud scenario
What they say about us
With Subex’s Business Assurance automation and Managed Services team, we have enhanced every element right from reducing time to detection and time to recovery to validating the data and gaining business insights.
Subex’s Business Assurance tool provides us with the visibility and control we need to manage our diverse global enterprise and new digital services. We highly recommend Subex to other businesses looking for a partner to help them enhance & expand their Business Assurance scope and transformation.
We have deployed Subex’s Revenue Assurance and Fraud Management System in three phases and have made significant progress. We are very pleased with the returns from both systems. We would like to express our appreciation and gratitude to Subex for their contributions and look forward to working with them to take it to the next level.
We selected to partner with Subex once again due to their experience of executing Revenue Assurance and Fraud Management operations, their proven ability in implementing Management Services engagements across the globe, and the value that they bring in terms of savings and ROI.
As a growing operator, it is extremely important that we reduce leakage so that we can continue to our new products and services to our customers. Subex’s revenue assurance and fraud management systems will allow us to do this effectively.
Where Assurance Meets Outcomes
Build pipelines fast. Spot leakage early. Close cases faster.
Drag-and-drop pipelines help analysts connect sources and map schemas without code. Previews and versioning reduce integration risk.
Native connectors for Kafka ingest events with low latency. Reliable for CDRs, signaling, clickstreams, and real-time KPIs.
Dashboards and ad-hoc exploration sit inside the app. Create, share, and govern visuals with role-based access.
A no-code designer models stages, SLAs, and assignments. Playbooks and automation keep handling consistent, with full audit trails.
Prebuilt reconciliations and anomaly rules cover order-to-cash and key fraud scenarios. Alerts estimate financial exposure.
Orchestrates the full risk-and-control lifecycle, from definition to remediation. Event-triggered actions help close the loop.
An AI-ready stack (anomaly detection,
feature store, model registry) supports predictive leakage detection.
Flexible tariffs support event-, time-, and location-based pricing, plus re-rating to assure billing accuracy.
Agents monitor controls, investigate exceptions, gather supporting evidence and recommend or execute the next action. This reduces manual effort, speeds resolution and keeps analysts in control through clear guardrails and audit trails.
Purpose built models detect anomalous usage, rating, billing and payment patterns, rank cases by likely financial impact and learn from analyst feedback. This expands coverage beyond fixed rules while reducing false positives.
Real Impact. Real Efficiency. Real Results.
Drag-and-drop pipelines accelerate onboarding and reduce the ETL backlog.
Low-latency ingestion delivers live KPIs and alerts to shrink the revenue-at-risk window.
Self-serve dashboards create a single source of truth and speed decision cycles.
Playbook-led case handling standardises outcomes and reduces handle time.
Preconfigured reconciliations surface the highest-impact alerts with exposure estimates.
Orchestrated control lifecycles automate remediation through API actions.
Machine learning models identify emerging patterns and risks before they become material leakage, supported by scalable model deployment, monitoring and retraining.
S3-compatible storage delivers fast historical queries and low-cost time travel.
Configurable ingestion frequencies align monitoring with business risk and data availability, reducing exposure windows and accelerating response.
Historical assurance data remains available for trend analysis, investigation and audit, helping teams trace issues and validate outcomes over time.
Key Use Cases
From faster investigations to smarter decisions, every benefit translates into measurable operational and financial gains.
Our Global Trust Network
Coverage
Built for operators of all sizes, across all lines of business: wholesale, fixed line, mobile, MVNO, mobile money-globally.
- Case Study
BT drives growth, optimises cost and boosts coverage with Subex Business Assurance
- Whitepaper
Advancing Technology Landscape for Next-gen Business Assurance
- Point of View
Broadening the scope for Business assurance: The 4 key areas
Resource Center
- Case Study
Dhiraagu Accelerates Growth and Strengthens Its Business Assurance Coverage with Subex
- Whitepaper
Transforming Invoice Validation and Dispute Handling with RPA for Business Assurance
- Point of View
Cognitive RPA as a key driver in Business Assurance
Frequently Asked Questions
What is business assurance?
Revenue Assurance has rapidly evolved from assuring revenues (with a primary business focus on EBITDA) to assuring business models. As telecom subscribers and partners get used to the “On Demand” paradigm, traditional risks have evolved, and new risks have emerged which can affect products/offerings success in real-time. Telecom leaders are rapidly re-engineering their risk framework to suit the dynamic and critical nature of new business models. This new environment has necessitated a shift in mind-set from traditional RA to Active Risk Intelligence (ARI).
Synthesizing the Telecom Business Assurance Practice with the Analytics World?
The analytics technology has made it easy to record and analyze millions of discrepant records and unearths underlying patterns. Finally provide an automated discrepancy analysis to identify possible root causes.
How AI is transforming telco business assurance?
With AI, our re-imagined assurance product stack, operators can assess and address impacts in near real-time or, in some cases, proactively. In today’s reality of multi-service, multi-disciplinary offerings (eg. Banking, Retail, Digital Content etc), the comprehensive AI/ML capabilities in the solution will help our telecom partners identify unknown unknowns, for meaningful course corrections.
Why we need business assurance?
Business assurance is the integration and bundle solution for the complex list of problems. With Business assurance it is easy to do analysis of complex data, case management for the comparison of measures, create complex end to end audits, designated workspace and contains all the information for telcos to make business decisions. It is well equipped to handle today’s use cases, both traditional billing, as well as the complex hierarchies & bundled promotions of new-age digital offerings.