What challenges did Ericsson face before AI implementation?

Communication service providers need to modernize OSS/BSS to support intent-driven autonomous networks. They need improved operational efficiency, anomaly detection, billing intelligence, and faster service innovation while controlling cost and risk.

What was the impact of the AI solution?

The article cites bill processing improvements for Odido: standard bill runs are 30% faster and complex B2B bills are produced up to five times quicker. The collaboration is positioned as enabling automation efficiencies, faster AI industrialization, and progress toward higher autonomy levels for CSPs.

Source

Ericsson and AWS: cloud-native AI/agentic OSS/BSS for autonomous networks

Use case typeAI agentsUpdated Apr 21, 2026

Ericsson and AWS collaborate to deliver cloud-native, AI-powered modernized OSS/BSS for autonomous networks. Ericsson embeds more than 20 cloud-native Telco IT AI Apps across OSS/BSS and uses Amazon SageMaker, Amazon Bedrock, Amazon Bedrock AgentCore, Amazon Q, and Kiro for generative and agentic workflows. The article describes an Ericsson Telco Agentic AI Studio built on Amazon Bedrock, plus a Gen-AI Lab that helps fast-track ideas from experimentation to deployable products.

Organization: Ericsson
Industry: Tech & Comms
Location: Netherlands
Published: April 2026

Reported outcomes

+500%

complex B2B bill production speedTime & speed

+30%standard bill run speed

Strategic outcomes

Cost efficiencyAutomated billing and OSS/BSS workflowsCompetitive differentiationAccelerated progress toward level-4 autonomous networksInnovation & cultureFaster path from idea to production for telco AI

Catalog median for time & speed deployments: +80% across 214 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1AI agents
2Workflow automation
3Customer service agent

Communication service providers need to modernize OSS/BSS to support intent-driven autonomous networks.
They need improved operational efficiency, anomaly detection, billing intelligence, and faster service innovation while controlling cost and risk.

Ericsson and AWS provide cloud-native OSS/BSS modernization and telco-specific AI applications.
The solution uses Amazon SageMaker for model development and training, Amazon Bedrock AgentCore, guardrails, knowledge bases, Amazon Q, and Kiro for retrieval-augmented and agentic workflows.
Examples include intelligent invoice anomaly detection, business intent management, intent-driven service management, and intelligent operations for charging and billing.

Technologies

Amazon SageMaker Amazon Bedrock Amazon Bedrock AgentCore Amazon Q Amazon Quick Suite Amazon Kiro

The article cites bill processing improvements for Odido: standard bill runs are 30% faster and complex B2B bills are produced up to five times quicker.
The collaboration is positioned as enabling automation efficiencies, faster AI industrialization, and progress toward higher autonomy levels for CSPs.

Architecture

Ericsson and AWS modernize OSS/BSS with cloud-native microservices and infrastructure-as-code, embedding AI across more than 20 Telco IT AI Apps. The solution uses Amazon SageMaker, Amazon Bedrock, Amazon Bedrock AgentCore, Amazon Q, Kiro, guardrails, knowledge bases, and an Ericsson Telco Agentic AI Studio built on Amazon Bedrock. The article also references a Gen-AI Lab for accelerating ideas into deployable products.

Sources & evidence1

Groundedness: 4/5Type: Blog PostPublished: Apr 21, 2026Publisher: EricssonEvidence: VendorConfidence: High

Primary source

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Customer evidence