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Smarter. Faster. Better.
Smart automation for Business Assurance.
Subex’s Business Assurance engine combines AI/ML anomaly detection, an LLM investigation copilot, and an emerging agentic framework-so your assurance function moves from reactive alerts to semi-autonomous detection and resolution.
Why Subex Business Assurance?
- AI/ML‑powered Business Assurance platform, purpose‑built for telecom, delivering advanced analytics across revenue, usage, orders, subscriptions, charges, and operational risks.
- Emerging agentic framework, designed to evolve from assistive analytics toward semi-autonomous detection, investigation, and orchestration patterns.
- AI Studio enabling both vendor-delivered AI/ML use cases through a visual approach to AI/ML, aligned to BA data and workflows.
- LLM‑powered investigation copilot that helps analysts explore hypotheses, explain anomalies, and significantly boost productivity during assurance investigations.
- Implementation‑led value model, where consulting and services work with the tools to speed onboarding, tailor controls, operationalize AI use cases, and embed assurance into daily operations.
- Cloud-native architecture with elastic scalability, supporting variable data volumes, workloads, and assurance scenarios.
- Proven Business Assurance control framework, built on 25+ years of experience and translated into deployable use cases.
- Lower and controllable TCO, enabled by a modern data architecture based on S3-compatible object storage.
Business Assurance Comes of Age
Telcos launch faster than ever. New digital offers create new risks.
Business Assurance has expanded from revenue to margin to business. To keep up, its automation must be:
- Change-resilient assurance-Ability to adapt controls and analytics rapidly as products, partners, data, and business models evolve.
- High-signal detection-Consistently surfaces meaningful risks while suppressing noise, with clear rationale behind every alert.
- Investigation-centric UX-Designed around how assurance teams think and investigate, supporting hypotheses, context, and iterative exploration.
- Durable assurance knowledge-Captures operational intent, assumptions, and lessons learned so assurance effectiveness compounds over time.
- Closed-loop value realization-Connects detection to resolution, recovery, and prevention, making assurance impact visible and measurable.
- Predictable TCO-Scales data and compute usage transparently without distorting economics as coverage and retention expand.
- Evolution-ready architecture-Supports a controlled progression from rules and analytics to assisted and agentic assurance patterns.
- Governed AI-Applies AI where it adds clarity and leverage, with explainability, oversight, and policy-driven constraints.
- Human-centered automation-Introduces automation progressively to amplify expert judgment while preserving control and accountability.
- Trusted outcomes-Delivers results that operational teams rely on and act upon without constant validation or dispute.
Subex Leads this Shift with
BA Engine Focused on
As the longest-serving vendor in RA/BA, Subex brings deep tooling and automation know-how, plus the largest controls library to support the move from RA to BA.
AI-first
Data decoding, pattern detection, and outlier/cluster analytics.
Cloud-Native
Fewer upgrade downtimes and on-demand scale for higher loads.
Collaboration + Knowledge Management
Better reporting and case flows, plus a shared knowledge store of actions and evidence.
Marketplace
An industry first: the Agentic RA, a repository of downloadable assets (documented reconciliations and more) you can drop straight into your environment.
AI-Powered Assurance
Combines machine learning models, analytics and assurance agents to detect patterns, prioritize risk and guide investigations across the assurance lifecycle.
Flexible Deployment
Supports cloud, on-premises and hybrid deployments, with scalable processing and upgrade options aligned to enterprise architecture, security and operational requirements.
Subex Architecture of Autonomy
Assurance agents share context, evidence and learned actions through Subex’s Architecture of Autonomy, coordinating work while preserving human oversight and auditability.
Reusable Assurance Assets
Configurable rules, reconciliations, models, workflows and dashboards accelerate deployment and help teams adapt assurance controls to their risks and operating environment.
Tools Inside the BA Engine
Embedded AI and AI Agent Squads™
Business Assurance operates across fragmented systems, complex data flows and rapidly changing digital services. Subex embeds AI models, generative AI and assurance agents directly into operational workflows to help teams access data, investigate anomalies, interpret findings and act on risks faster. These capabilities reduce manual effort, support consistent decision-making and extend assurance coverage across traditional, digital and B2B2X ecosystems.
- Natural-language data access (Text-to-SQL) – Enables analysts to query assurance data without writing SQL, reducing reliance on specialist skills and accelerating investigations.
- RCA Agents – Summarizes alerts, correlates supporting evidence and suggests likely causes and next actions, helping analysts resolve complex cases faster.
- AI-assisted visualization – Converts queries and findings into relevant charts and dashboards, making trends, anomalies and financial exposure easier to interpret.
- Automated insight digests – Consolidates control results, material risks and case updates into role-based summaries for analysts and leadership.
To further assist the workflows, we are developing full-fledged AI Agent Squads™ that recommend the right assurance controls, recommend optimum thresholds, and assist with new product onboarding significantly further reducing manual effort, accelerating time-to-resolution, and expanding assurance coverage across digital and B2B2X ecosystems.
Business Operations Portal
A productized set of BA best practices for faster risk identification, prioritization, and action. Role-based views for Executive, Lead, and Analyst users reduce time to discovery. Out-of-box metric recommendations cover Data Quality, Control Efficiency, KPI Impact, Financial Metrics, and Team Performance. Users can also pick metrics from a metric library.
Data Quality Engine
BA needs clean data before audits run. This engine measures data health across steps like file collection, parsing, and load completeness. It reduces false discrepancies and wasted analysis time.
Process Map (Bird’s-Eye Workflow)
BA teams track many KPI streams (money, SIP traffic, inventory levels, and more).
Process Map gives a single view to start analysis and follow a structured path from detection to recovery.
Data Digest
BA teams often hold the cleanest data. Other functions need it.
Data Digest lets teams design function-specific digests for scheduled distribution or online access.
Teams can pin audit results, dashboards, reports, and KPIs (e.g., Marketing Digest, Network Digest).
This supports a primary and secondary control model.
Audit Engine
Time-to-market for new controls is shrinking. Controls also need to be end-to-end.
Audit Engine lets business users build complex audits without code.
It supports best practices like massive-volume reconciliations, time-drift handling, and auto-triggered data matches.
Process Automation (Case Workflows)
Cases must be handled within SLAs, across many systems and nodes. This module provides no-code, drag-and-drop workflows for investigation and resolution. It supports collaboration and knowledge capture to automate SOPs.
ETL Tool (Data Management Studio)
New business areas bring new data streams. BA needs data quickly.
This studio supports enterprise-wide data transformation and integration, with advanced mapping, string handling, lookups, and bulk load support.
It is future-ready for batch, micro-batch, streaming, and API integrations.
Rating & Billing Engine
Tariffs, bundles, and promotions change often. Complexity drives leakage and disputes.
This engine supports both traditional billing and modern digital offer hierarchies.
It covers subscriber profiles, buckets, discounts, bill cycles, and multiple rating parameters.
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Frequently Asked Questions
Everything you need to know about how our Business Assurance Product Overview products work.
What is Business Assurance?
Business 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).