Preparing BSS and OSS for the Agentic AI Era

Leveraging data federation alongside MCP, A2A protocols and open APIs will enable real-time, autonomous operational decisioning across distributed data sources.

As Communications Service Providers (CSPs) transition from transactional automation to autonomous operations, Agentic AI is emerging as the primary engine. Unlike static AI models that merely recommend actions, autonomous agents dynamically analyze situations, formulate multistep plans and execute operations across complex environments. However, the true potential of Agentic AI within BSS and OSS cannot be realized through legacy data approaches. Traditional centralized data lakes and fragmented data silos are fundamentally ill-suited for real-time decisioning: centralizing multi-petabyte operational datasets introduces severe latency, massive storage overhead and critical governance challenges.

To thrive in the Agentic AI era, BSS/OSS architectures must pivot to sophisticated data federation, which enables autonomous agents to query, correlate and act upon distributed data sources that range from real-time network telemetry and billing records to customer CRM profiles, without requiring costly ingestion or migration. By abstracting data access across physical and logical boundaries, federation provides agents with a unified, real-time context. This seamless contextual visibility allows agents to diagnose network faults, personalize BSS offers and optimize dynamic slice provisioning instantly, unlocking true operational agility.

Powering Agent Integration: MCP, A2A Protocols and Open APIs

Harnessing value from federated data across heterogeneous telecom ecosystems requires robust, standardized interaction protocols. Fortunately, Agentic AI is increasingly able to rely on a triad of connectivity paradigms to bridge physical infrastructure, backend IT and intelligent agent frameworks:

* Model Context Protocol (MCP): MCP has rapidly emerged as the standardized secure bridge that connects intelligent agents to federated enterprise data sources and tools. By providing a uniform interface, MCP allows agents to dynamically discover schemas, query real-time context from OSS performance monitors and BSS account repositories and execute functions safely within established security boundaries.

* Agent-to-Agent (A2A) Protocols: Complex telecom workflows demand multi-agent orchestration. A2A communication protocols enable specialized agents – such as a dynamic BSS rating agent and an OSS network slice controller – to negotiate, exchange federated insights and coordinate actions collaboratively without human intervention.

* Standardized Telecom APIs: Tying this framework together are open RESTful and event-driven APIs (such as TM Forum Open APIs). APIs act as the essential execution mechanism, exposing underlying BSS billing functions, OSS provisioning workflows and federated data pipelines directly to agent control loops. Combined with MCP and A2A, APIs turn static data assets into actionable intelligence.

Accelerating the Autonomous Future

Preparing BSS and OSS for the Agentic AI era requires more than incremental software updates; it demands a modern, AI-native architectural foundation. Netcracker sits at the forefront of this transformation with its Agentic AI Solution and flagship BSS/OSS suites, which integrate advanced data

federation engines and open API frameworks natively, empowering service providers to deploy intelligent, autonomous agents across their entire operational fabric seamlessly.

By breaking down traditional data silos and supporting modern protocols like MCP and A2A, Netcracker enables CSPs to lower operational expenditures, accelerate time-to-market for innovative B2B2X services and deliver self-healing network experiences. Netcracker provides the end-to-end governance, real-time federation and intelligence layer required to transform legacy environments into fully autonomous, agentic telco enterprises.

Find out how Netcracker Agentic AI Solution is delivering immediate CSP value with 100+ ready-to-deploy agents. https://www.netcracker.com/portfolio/products/netcracker-agentic-ai-solution