Normalized claim
Field-validated accuracy: 98% increase
98% field validated accuracy
Ericsson agentic rApp as a Service on AWS for autonomous RAN optimization
Use case typeAutomotive operations automationUpdated Jun 13, 2026
Ericsson describes an AWS-hosted rApp as a Service solution that uses agentic AI to automate RAN operations and optimization for communications service providers. The platform integrates with Ericsson Intelligent Automation Platform and O-RAN interfaces to coordinate specialized agents for anomaly detection, root-cause explainability, cell shaping, and uplink performance optimization. It is delivered as a multi-tenant SaaS offering through AWS Marketplace.
- Organization
- Ericsson
- Industry
- Tech & Comms
- Location
- Sweden
- Published
- February 2026
Reported outcomes
+54%
cell issue resolution speedTime & speed
+98%field-validated accuracy−75%network optimization time and effort+43%downlink throughput in problematic cells+4%spectral efficiency gains
Strategic outcomes
New business modelDelivered as multi-tenant SaaS offeringNew product / capabilityAutomated RAN operations and optimizationScale & capacityDeployed across major CSP network scale
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Cell issue resolution speed: 54% increase
54% faster cell issue resolution
Normalized claim
Network optimization time and effort: 75% decrease
75% time and effort reduction during network optimization
Normalized claim
Downlink throughput in problematic cells: 43% increase
43% improved downlink throughput in cells with issues
Normalized claim
Spectral efficiency gains: 4% increase
more than 4% spectral efficiency gains
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Ericsson
- Provider
- AWS
- Maturity
- Production
- Linked source
- Ericsson Blog
Communications service providers face rising complexity and operational cost managing multi-technology 5G/6G environments
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 4
- 1Agentic AI
- 2AIOps
- 3Network Optimization
- Communications service providers face rising complexity and operational cost managing multi-technology 5G/6G environments.
- Manual interventions make it difficult to scale network operations and slow the move toward autonomous networks.
- Legacy systems hinder adoption of cloud-native AI automation.
- Ericsson rApp as a Service is hosted on AWS and uses Amazon Bedrock agent capabilities for the agentic AI layer.
- The solution uses Amazon SageMaker AI, Amazon ECS on AWS Fargate, AWS Glue, Amazon Athena, and AWS Lambda for ML, orchestration, analytics, ETL, and automation.
- The platform coordinates multiple specialized AI agents through a supervisor-agent pattern and integrates with Ericsson Intelligent Automation Platform via O1/R1 interfaces.
- The article cites 98% field-validated accuracy.
- It reports 54% faster cell issue resolution.
- It reports 75% reduction in network optimization time and effort.
- It reports 43% improved downlink throughput in problematic cells and over 4% spectral efficiency gains.
- It says the solution is deployed across more than 60 CSPs, managing 13+ million sites and serving 2+ billion subscribers.
Architecture
Ericsson rApp as a Service is a SaaS solution hosted on AWS and available via AWS Marketplace. It integrates with Ericsson Intelligent Automation Platform (EIAP) and O-RAN O1/R1 interfaces. The architecture uses a supervisor agent coordinating specialized rApp agents for telemetry-driven network optimization. AWS services named in the article include Amazon Bedrock agent capabilities, Amazon SageMaker AI, Amazon ECS on AWS Fargate, AWS Glue, Amazon Athena, and AWS Lambda. The platform is multi-tenant and uses standardized interfaces and APIs/MCP/A2A for integration.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
Type: Blog PostPublished: Feb 17, 2026Publisher: EricssonEvidence: VendorConfidence: Medium
AI-generated summary. Verify important details with the linked sources before relying on this case.
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