OmniBOSS builds self-correcting OSS and BSS with agentic AI

Commercial context

Network operations are becoming increasingly complex, as users place greater demands on connectivity and as technologies rapidly evolve. CSPs rely on operational support systems (OSS) to monitor and optimize their networks to ensure seamless, reliable service delivery. Meanwhile, business support systems (BSS) handle customer management, billing, charging and revenue assurance.

Although OSS and BSS systems are essential to meeting CSPs’ business objectives, a lack of high-quality data often holds them back. Poor data governance leads to errors, inefficiencies and increased operational costs. Moreover, OSS operations often rely on manual intervention, making them prone to human errors. As a result, enforcing consistent best practices and automating operations at scale continue to be major industry challenges. Yet, as networks grow in size and complexity, manual oversight is no longer feasible.

The solution

The ‘Automating Operational and Business Best Practices’ Catalyst has built OmniBOSS, an intelligent network assistant. Developed using generative AI, the assistant is purpose-built for both BSS and OSS environments. It learns, enforces and continuously evolves best practices across operational and business domains by design.

The assistant employs AI agents for specialized tasks, such as engineering assistance in network planning, geographic information systems, inventory and service assurance. Developers train the large language models that underpin these agents using best practice data sets, combined with operational guidelines. As each telecom provider has unique operational policies, the assistant can be privately trained on company-specific best practices, while being able to fall back on industry-wide standards when needed.

OmniBOSS can analyze network data, detect anomalies and recommend corrective actions to prevent issues before they impact customers. It can also understand and generate intelligent recommendations for OSS teams, as well as provide insights for network optimization. The assistant automatically performs policy compliance checks, proactively validates and cleans up data, and validates new best practices as they are defined. The solution works alongside existing OSS tools, using multiple TM Forum APIs to ensure standardized data exchange and interoperability.

Unlike traditional rule-based systems, the assistant continuously learns from real-world data, operator feedback, and new industry developments, ensuring its recommendations remain relevant and up-to-date.

Application and wider value

The Catalyst team believes OmniBOSS will deliver multiple benefits. Firstly, it promises to improve data integrity by enforcing better data management practices and reducing inconsistencies and errors. Better data, combined with AI-powered analytics, will help identify and resolve potential problems before they escalate, minimizing network downtime. Fewer outages, together with shorter service delivery times, will improve the end customer experience. These benefits will also help CSPs adhere to service level agreements, as well as supporting regulatory and security compliance.

At the same time, operational costs should fall. The AI assistant's design enables large-scale automation, allowing telecom providers to manage networks more efficiently and proactively. As they automate routine tasks, CSPs’ staff can focus on more strategic initiatives.

While different vendors have their own operational guidelines, OmniBOSS promises to monitor, validate and enforce high-quality data standards across OSS systems. The assistant will learn and adapt to vendor-specific best practices, while also aligning with industry-wide standards to ensure consistent operations.

“By integrating agentic AI into OSS and BSS, OmniBOSS ensures that best practices are consistently applied across every layer of network operations and business support,” explains Pasan Nishantha, General Manager/System Integration and Operations at Sri Lanka Telecom, one of the champions of the catalyst. "OmniBOSS doesn’t just assist—it acts on best practices, turning reactive, firefighting effort into proactive innovation. It acts as an AI-driven service provider tool to enforce best operational practices across both legacy and modern telecom networks.”

At a strategic level, OmniBOSS will help inform decisions on network expansion and product and service development. At the same time, AI agents can assist in knowledge transfer, addressing skills shortages in niche network engineering areas.

The Catalyst should also advance standardization. One of the primary goals of the project is to establish a standard for self-correcting, intelligent OSS systems. As the standard develops, consumers and companies should benefit from greater network reliability, security, and responsiveness. Along with Sri Lanka Telecom, PLDT of the Philippines is a champion of the catalyst.

“From revenue management and service provisioning to performance monitoring and fault resolution, agentic AI delivers context-aware, real-time guidance that reduces inefficiencies, minimizes human error, and boosts operational reliability,” concludes Pasan Nishantha. “It not only drives intelligent automation at scale, but also self-adapts to network changes and evolving industry standards—enabling telecom organizations to stay ahead in an increasingly dynamic environment.”