en.Wedoany.com Reported - Ericsson has unveiled a new blueprint for its Operations Support Systems and Business Support Systems (OSS/BSS) architecture, positioning agentic artificial intelligence (AI) as a core component rather than an add-on feature. The blueprint introduces a new agentic AI service experience layer, placed above existing OSS/BSS domains, designed to unify the orchestration of customer journeys, service lifecycles, and assurance through AI agents, replacing traditional workflow stitching models.

This announcement expands on Ericsson's AI-native OSS/BSS portfolio launched in 2025. While previous efforts focused on embedding generative AI into operations, the new framework centers on agents capable of planning, reasoning, and taking action within network operations and business processes. The framework is positioned as a bridge between AI-native networks and AI-native business operations, making radio access network (RAN) and core network automation accountable for revenue and business experience goals.

The announcement coincides with Nokia's launch of its Autonomous Networks Agent Library for IP networks, as both vendors race to embed AI agents into operational and business structures.

The new framework is based on intent-driven automation. Operations teams can define goals using natural language, such as "reduce churn among high-value customers," and the framework will generate consistent catalog entries, billing logic, and configuration workflows from this single statement, eliminating the need for product, billing, and network teams to manually build each component. At its core, the framework operates as a multi-agent system, including specialized agents for data ingestion, reasoning, planning, simulation, and execution. These agents are exposed to specific domain roles, including experience agents focused on customer journey experiences, revenue agents handling pricing and profit optimization, and network agents connected to EIAP and rApps for topology and resource changes. A single stated goal can propagate across these three domains.

The framework also redefines the purpose of the Telco Agentic AI Studio. Launched on Amazon Bedrock in 2025 to build and accelerate AI applications for OSS/BSS, the studio is now shifted from basic application creation to actively orchestrating multi-agent, end-to-end service experiences.

On the data front, the framework deeply integrates with the Telco DataOps Platform, serving as a real-time streaming data backbone for AI and automation, funneling customer, service, and network data into a single pipeline. The framework also enforces closed-loop service experience management, enabling agents to directly observe KPIs such as Net Promoter Score (NPS), adjust service quality or pricing accordingly, and measure business impact.

The framework maintains continuous connectivity with the Intelligent Automation Platform (EIAP) and integrates agentic AI capabilities from Ericsson's early 2026 Differentiated Support release for automated multi-vendor ticket classification and root cause analysis. It also interfaces with Ericsson's "AI in RAN" subscription service, which embeds telecom-grade AI models into basebands and radios.

In terms of cloud dependencies, the framework relies heavily on AWS. The Telco Agentic AI Studio is built directly on Amazon Bedrock, and some rApp aaS solutions are hosted as SaaS on AWS Marketplace. Its architecture offloads computation to the hyperscaler, while data remains within the CSP's boundary in the Telco DataOps environment. Ericsson offers cloud-agnostic deployment options, but AWS is explicitly positioned as the reference implementation for multi-agent workloads. For operators running private data centers or committed to competing clouds, this reliance on AWS may raise lock-in concerns.

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