How Ericsson and AWS transform OSS/BSS with cloud and AI for autonomous networks
As communication service providers (CSPs) shift gear toward differentiated connectivity and autonomous networks, Ericsson and AWS are providing cloud native, AI powered modernized business and operations support systems (OSS/BSS) to help them thrive in this new era. Find out how their collaborative solutions drive automation efficiencies, operational excellence, superior experiences, and faster service innovation.
Head of Solution Area Business and Operations Support Systems
General Manager for EMEA Telco Industry at AWS
Product Marketing Manager, Business and Operations Support Systems
Head of Solution Area Business and Operations Support Systems
General Manager for EMEA Telco Industry at AWS
Product Marketing Manager, Business and Operations Support Systems
Head of Solution Area Business and Operations Support Systems
General Manager for EMEA Telco Industry at AWS
Product Marketing Manager, Business and Operations Support Systems
Modern telecom networks enable two new paradigms: differentiated connectivity for new revenue opportunities, and autonomous networks for efficient, intent-driven service delivery. Together, they are reshaping telecoms and require a modernized OSS/BSS that improves operational and business efficiency, enhances customer experience, and accelerates delivery of new services.
Ericsson and AWS have collaborated to deliver cloud-native, AI-powered modernized OSS/BSS that provide the scale, agility, and automation to drive telecom growth. Mats Karlsson, Vice President and Head of Business and Operations Systems at Ericsson, and Fabio Cerone, General Manager for EMEA Telco at AWS, discuss this strategic collaboration focused on three pillars: cloud scalability, artificial intelligence (AI), and automation to accelerate the autonomous networks journey.
Figure 1: Ericsson and AWS collaboration: leverages individual strengths and common interests
Source: Appledore: OSS/BSS transformation – The road to agentic AI
Cloud native OSS/BSS is imperative to enable scalability and agility
Ericsson and AWS have a strategic collaboration to deliver cloud benefits across Ericsson’s OSS/BSS portfolio - spanning across core commerce, monetization, orchestration, data analytics, and AI. Ericsson is a certified AWS Managed Service Provider (MSP) partner. The shared goal is to help CSPs progress through their cloud journeys with confidence, using globally validated deployments and the ability to scale dynamically.
Mats explains it well, “In the Ericsson OSS/BSS portfolio we emphasize cloud-native software, infrastructure-as-code, autoscaling, and managed cloud services to enable new business use cases. Our products are designed around cloud-native principles and independent microservices to speed development, improve resilience, and automate deployment.”
Fabio highlights how AWS delivers the benefits of cloud, “AWS services provide dynamic scaling of resources based on demand, which is critical for new digital 5G applications and growing traffic. Our vast global network of data centres offers low-latency access, high availability, and robust disaster recovery capabilities — all essential for modern telecom workloads.”
Mats gives a live example from Odido Netherlands, “By embracing our cloud-native Ericsson Billing system hosted on AWS, Odido unlocked the scalability, rock-solid security, and agility needed to thrive in the fast-paced world of telecom and bring cutting-edge 5G services to life. Odido is achieving bill processing speeds that are in a whole new league: standard bill runs now complete 30% faster, and complex B2B bills are produced up to five times quicker. This leap in efficiency frees up valuable resources so the team can focus on what matters most: innovation and delivering exceptional customer experiences.”
Read the Odido billing transformation success story here.
Build strong foundations for mission critical services
The conversation turns to mission critical services — an area where Ericsson and AWS see strong alignment. Mats explains that mission critical services cover public safety, utilities, rail, defence, and other sectors where communications are vital to public and national interest. “These services require highly reliable, secure and resilient communication networks. Ericsson provides core network and operations and business support systems (OSS/BSS) to run the mission critical networks and support important public and front-line emergency services,” he says.
Mats highlights the practical impact: “We give emergency responders — police, fire, ambulance — better technology and faster access to life critical data. That enables sharing of live video, images, incident reports and public safety information during time sensitive rescue and response operations, improving situational awareness and decision making.”
Fabio underscores the role of AWS, “Mission-critical services demand cloud-native solutions that deliver the high availability, resilience, security, and adaptability modern businesses require. AWS provides the infrastructure and purpose-built solutions to meet these demands.”
Together, Ericsson and AWS combine domain expertise in mission critical communications with cloud infrastructure and services to deliver solutions that are robust, secure, and ready for the most demanding scenarios.
AI accelerates OSS/BSS innovation and transformation
The conversation steers to AI — a topic both Mats and Fabio see as a game changer for OSS/BSS. Mats describes Ericsson’s approach, “We are embedding AI throughout OSS and BSS via more than 20 cloud native Telco IT AI Apps. These Machine Learning (ML), Gen-AI, and Agentic AI applications deliver business value across BSS — reducing revenue leakage, improving sales effectiveness, and detecting invoice or billing anomalies — and across OSS — monitoring network health, predicting outages, and enabling prescriptive remediation. Use cases include product configuration, network analytics, operational intelligence, closed-loop automation, and guided selling. The apps are designed to automate manual workflows, raise operational efficiencies, and enhance the service experience. They run on the Ericsson Telco IT AI Engine, a cloud-agnostic AI platform that provides a strong foundation for rapid development of Machine Learning (ML), Generative AI (Gen-AI), and Agentic AI applications.”
Fabio adds, “AWS and Ericsson are executing a telco specific AI strategy to help CSPs put AI into production inside OSS/BSS. AWS tools — like Amazon SageMaker for model development and training, Amazon Bedrock AgentCore, Kiro, and Amazon Q for generative capabilities and retrieval augmented workflows — accelerate building and running these telco AI use cases. Together we have demonstrated practical solutions such as intelligent invoice anomaly detection, business intent management, intent-driven service management, and intelligent operations for charging and billing using Amazon SageMaker and Amazon Bedrock.”
Mats continues, “Ericsson and AWS are on mission to accelerate AI industrialization to help our CSP customers quickly transform AI concepts into practical, functional AI applications. For this we have created Ericsson Telco Agentic AI Studio, which automates and speeds up AI application development with an intent-driven approach. Built on Amazon Bedrock, the studio uses ‘worker agents’ to create specialized AI agents that addresses CSPs’ unique business and operation needs.”
“Ericsson Telco Agentic AI Studio has enabled creation, packaging and deployment of Agentic AI apps in a structured way. It uses Amazon Bedrock with AI Agents (based on Strands Agents), guardrails, and knowledge bases to automate Agentic AI application creation. Amazon Bedrock AgentCore not only results in significant performance improvement of agentic AI Apps, but also enables serverless operations”, adds Fabio.
Mats concludes the AI discussion with another real example, “We aren’t just delivering technology — we’re simplifying the whole path from idea to production. That’s why we created the Ericsson and AWS Gen AI Lab: a structured, collaborative program that combines Ericsson’s OSS/BSS expertise and AWS AI to fast track solutions from experimentation to deployable products. Real world results are emerging — Grameenphone, for example used the lab for an agentic AI based solution to automate the process of migration from its legacy product catalog to Ericsson Catalog Manager.”
Read the Grameenphone Gen-AI Lab press release
Taken together, Ericsson and AWS are turning AI from a set of experiments into operationalized, governed capabilities inside OSS/BSS — accelerating time to market, reducing cost and risk, and unlocking new automation and service innovation for CSPs.
Future forward: Towards autonomous networks
What about autonomous networks and operations? Autonomous networks represent a fundamental shift to intelligent, self-managing infrastructure that reduces manual intervention, streamlines operations, and improves service quality. By combining rule-based automation with AI-driven decisioning, autonomous networks aim to simplify network management, cut operational costs, and deliver consistently better customer experiences.
Industry frameworks such as TM Forum describe a maturity path for autonomous networks from Level 0 (fully manual) up to Level 5 (fully autonomous). Most communications service providers (CSPs) today operate around Levels 1–2; the ambition is to steadily progress into Levels 3–4. The Ericsson and AWS strategic collaboration is purpose-built to accelerate that journey, helping CSPs reach advanced autonomy with modernized, resilient infrastructure, platforms, software, and managed services.
Mats frames the joint approach, “Together, Ericsson and AWS bring complementary capabilities to deliver holistic autonomous network solutions. Ericsson contributes deep telecom domain expertise, AI first and intent driven software, plus specialized services to operate multi vendor, multi domain networks. AWS provides the cloud foundation—scalable infrastructure, platform services, and advanced AI/ML tooling. This lowers complexity and capital barriers.”
“The collaboration accelerates modernization of OSS/BSS systems, deployment of AI use cases in high-value processes like provisioning, fault management, and network optimization, and the adoption of closed-loop automation” Mats adds.
Fabio highlights the practical impact: “Our collaboration helps CSPs move faster toward Level 4 autonomy by combining Ericsson’s telecom specific automation and intent capabilities with proven cloud and AI services from AWS. That combination makes networks more agile, efficient, data-driven, and responsive to evolving customer needs, creating new opportunities for digital transformation and innovative services. Out innovation in AI, Gen-AI, and agentic orchestration makes the realization of autonomous network not only easier, but also with the right guardrails in place to be secure, controlled and scalable in a safe way”
Mats shares more details, “Ericsson and AWS collaborative approach for autonomous networks is realized through OSS/BSS AI solutions present at various layers of the autonomous networks stack. For example, At the business and service layers, Ericsson’s AI solutions (Telco IT AI Apps on OSS/BSS systems such as Core Commerce, Service Orchestration and Assurance) integrate with Amazon Quick Suite and AI platforms (such as Amazon Bedrock and Amazon SageMaker) to drive end-to-end intent-based operations. The AI use cases include business intent management, predictive assurance, and anomaly detection, helping CSPs align autonomous network behaviors with business objectives, revenue management, and customer experience optimization.”
“At the resource layer, Ericsson leverages AWS AI platforms to enhance its RAN automation portfolio (including rApps). Typical rApps such as Cell Anomaly Detector, Anomaly RC Explainer, and RET/AAS Cell Shaper apply agentic AI patterns for dynamic network optimization: issue detection, classification and resolution to improve end user experience.”, Mats adds.
The outcome of this collaboration is a pragmatic, stepwise path to autonomous operations. CSPs can adopt validated building blocks, proven patterns, and governed AI/automation practices to progress from partial automation to advanced, intent driven operations.
Read the eBrief- Manage business intent with Agentic AI for enabling autonomous networks
Ericsson and AWS: Unlocking new values for telecom businesses
Fabio concludes the conversation by summarizing the net effect of the collaboration, “Together, Ericsson and AWS are redefining OSS/BSS for the cloud era—turning AI at scale, unlocking new revenue streams, and elevating level-4 autonomous networks from ambition into operational reality for CSPs.”
Mats concurs, “By bringing together Ericsson’s leadership in OSS/BSS with AWS’s strong cloud and AI capabilities, this collaboration is shaping the next chapter of telecom transformation, making it easier for CSPs to sell, deliver and get paid. CSPs gain a trusted pathway to cloud-native operations, faster AI adoption at industrial scale, and the ability to monetize emerging opportunities such as mission-critical services. Most importantly, Ericsson and AWS are helping CSPs move decisively toward level-4 autonomy, turning operational intelligence into a true competitive advantage.”
Read more
Find out more on the Ericsson OSS/BSS and AWS collaboration in the following analyst reports:
Appledore- OSS/BSS transformation: Road to Agentic AI
Omdia- The Future of OSS/BSS is cloud-based and AI-native
OSS/BSS Solutions - Sell. Deliver. Get paid.
OSS/BSS Services for better business outcomes