Scaling the TechCo: Leveraging the Operational Intelligence Layer for Platform Growth
Communications service providers (CSPs) are facing significant pressure to transition away from a model of providing basic connectivity and evolve into techco players. This evolution involves leveraging their capabilities to monetize APIs, edge resources and programmable networks. To achieve this goal, it is essential that they break down data silos across OSS and BSS. By doing so, they can ensure that their operations are supported by real-time intelligence instead of after-the-fact reporting.
An Operational Intelligence Layer (OIL) provides the foundation for this shift, acting as a centralized, data-driven fabric above legacy systems and domains. When combined with AIOps and an API-first approach, it enables CSPs to transition from a reactive, fault-fixing model to a proactive, platform-providing role.
What Is an Operational Intelligence Layer?
In the telecom industry, the OIL layer is positioned above the existing fragmented OSS and BSS, network and IT tools, providing a comprehensive, real-time view of the business. It ingests data from many sources, including alarms, tickets, performance metrics, inventories, orders, billing and customer interactions. The system then correlates this data and exposes insights through dashboards, APIs and automation.
The OIL dashboard is designed to function as an intelligent system that can interpret signals, correct records, predict problems and trigger workflows across systems. This approach breaks down the conventional silos that often exist within organizations, reducing the need for manual investigations and enabling both human and machine operators to act on a unified operational truth.
Key capabilities of an Operational Intelligence Layer
- Real-time data ingestion and correlation across domains, including RAN, core, transport, IT, OSS and BSS.
- Unified network visibility serves as a “single pane of glass,” combining multi-vendor, multi-domain telemetry into a single, cohesive view for service quality, network health, customers and revenues.
- Embedded analytics and AI to detect anomalies, run root-cause analysis and propose or execute actions.
- API exposure so other systems and partners can consume insights and events programmatically.
Architecting the Telco Platform: From Network Assets to Monetizable Digital Services
The techco vision is for CSPs to operate as software-defined platforms that expose network capabilities via APIs, enabling developers and enterprises to build new applications on top. Initiatives, such as GSMA Open Gateway and TM Forum Open APIs are creating a global framework of common network APIs. This framework enables partners to seamlessly integrate telco capabilities, including quality-on-demand, location, identity and network slicing, into their applications.
To participate in the API economy, CSPs must possess the following core capabilities:
- Assure SLAs in real time across complex, sliced and distributed networks.
- Automate end-to-end service delivery and assurance across OSS, BSS and network domains.
- Monetize APIs through aggregation platforms and marketplaces with clear performance and billing data.
An OIL underpins this TechCo shift by providing the telemetry, correlation and automation required to expose trustworthy, monetizable capabilities. Without this layer, CSPs risk offering “best-effort” APIs that developers cannot rely on.
- Additional TechCo-Enabling Capabilities
In addition to the core competencies, there are several other capabilities that are essential for success.
- Edge and distributed cloud. CSPs can offer low-latency compute at the network edge, pairing connectivity with localized AI processing.
- Network slicing and QoS-as-a-Service. These virtual slices are tailored for industries such as public safety, logistics, telemedicine and smart manufacturing, which require continuous, slice-level observability and assurance.
- API governance and conformance. Unified conformance programs for Open Gateway and TM Forum APIs ensure interoperability and trust for global ecosystems.
All of these depend on precise, real-time operational intelligence.
AIOps: Predictive, Closed-Loop Operations
Artificial intelligence for IT operations (AIOps) is an effective solution for telecom, where the sheer volume of events, metrics and logs makes manual analysis impractical. By combining historical and real-time data, AIOps learns “normal” behavior, detects anomalies, predicts incidents and can trigger automated remediation.
Vendors report that AIOps-powered closed-loop systems can already resolve a significant share of incidents automatically. For instance, certain autonomous operations platforms currently resolve over 30% of incidents without the need for manual intervention.[1]
For CSPs, this translates into lower OPEX, faster mean time to repair (MTTR) and more stable experiences.
How AIOps Works Within an Operational Intelligence Layer
By embedding AIOps into the OIL, CSPs can often remediate degradations before they impact customers, or proactively notify and compensate them when unavoidable service disruptions occur.
- Data integration ingest alarms, logs, tickets, performance KPIs, customer complaints and topology into a common model.
- Anomaly detection and prediction use machine learning (ML) to flag deviations from standard patterns that precede failures.
- Network security monitors network traffic in real time to detect anomalies that may indicate security breaches or cyberattacks.
- Root-cause analysis correlates multi-domain symptoms to identify the most likely cause, even when they occur across OSS and BSS boundaries.
- Automated workflows trigger self-healing actions or orchestrate tickets and customer notifications automatically.
[1] “Causal Inference and Graph-Based AI Models for Root Cause Analysis in Telecom and Networking Systems,” by Selvamani Ramasamy. International Journal of Emerging Research in Engineering and Technology 3, no. 1 (2022): 86-94.
Powering Growth Through Predictive Operations
Historically, telecom operations have been reactive. When a system malfunctions, alarms are triggered, prompting engineers to initiate a response. An OIL, powered by AIOps, transforms this model from detection to prediction and from break-fix to continuous optimization.
Similarly, the cross-domain data that drives operational excellence can also be leveraged to identify new revenue opportunities.
- Enterprise private networks. Manufacturers, ports, campuses and utilities are investing in private 5G to connect robots, vehicles and tools. Insights on usage, performance and device behavior can inform tiered SLAs, premium support and outcome-based pricing.
- IoT and vertical solutions. Combined data from OSS and BSS shows which IoT segments generate tickets, churn or upsell potential, guiding vertical-specific offers and managed services.
- Edge and AI services. CSPs can map AI workloads to edge sites closest to demand, offering differentiated latency and reliability tiers.
The OIL serves as a catalyst for growth by converting operational data into valuable insights for product development and strategic marketing initiatives.
Cross-Domain Capabilities: Governance, Experience and Ecosystems
To fully realize the TechCo vision, CSPs must also address several cross-domain capabilities that an OIL supports:
- Data governance and quality. An OIL can continuously reconcile inventories, usage and billing, protecting revenue and ensuring that API-exposed data is accurate.
- Experience-centric operations. Integrating network QoS with customer data allows for the calculation of customer experience scores, the establishment of intent-based SLAs and journey-aware automation, such as the prevention of bill shock before it occurs.
- Ecosystem enablement. By exposing observability and assurance metrics via standardized APIs, CSPs give partners the confidence to build mission-critical services on top of their networks.
These capabilities move CSPs closer to operating models where platforms, not products, define competitive advantage. These models focus on flexibility, automation and centralized platform-based services rather than legacy, product-driven, hardware-intensive models.
Leveraging the Open Integration Layer for API-Driven Growth
The market is moving quickly. Hyperscalers, cloud-native challengers and digital-first MVNOs are already defining expectations for on-demand, API-driven connectivity. TM Forum and GSMA’s Open Gateway efforts demonstrate the standardization and certification of a global API economy.
CSPs that delay building an OIL risk becoming interchangeable wholesalers behind more agile platforms. Those who act now can:
- Lower operating costs through AIOps and automation, enhancing operational resilience.
- Differentiate by offering assured, programmable connectivity and edge services for enterprises.
- Monetize APIs in new ecosystems, supported by real-time observability and reliable SLAs.
The first step in becoming a techco is to establish a unified, intelligent view on operations. Investing in an OIL today can provide the control, agility and insight necessary to transform networks into platforms and data into growth.