Home icon

Transforming network operations with AI: How Swisscom built a network assistant using Amazon Bedrock

Machine Learning Blog



Swisscom, a leading Swiss telecommunications provider, developed a Network Assistant using Amazon Bedrock to transform network operations by automating data retrieval and analysis tasks for network engineers.

  • Built a Retrieval Augmented Generation (RAG) architecture using Amazon Bedrock Knowledge Bases
  • Implemented a multi-agent approach with specialized agents for documentation, calculations, and orchestration
  • Created a serverless data pipeline using Amazon S3, AWS Glue, and Amazon Athena
  • Integrated comprehensive security guardrails to protect sensitive data
  • Achieved estimated 10% time savings per engineer, potentially reducing manual work by 200 hours annually

The solution enables network engineers to quickly access network insights, perform complex calculations, and focus on strategic tasks using natural language interactions with an AI-powered assistant.



Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Dec 11
2025
How Swisscom builds enterprise agentic AI for customer support and sales using Amazon Bedrock AgentCore
Jul 15
2025
How PayU built a secure enterprise AI assistant using Amazon Bedrock
Jul 1
2025
Accelerating AI innovation: Scale MCP servers for enterprise workloads with Amazon Bedrock
Jun 23
2025
Build an agentic multimodal AI assistant with Amazon Nova and Amazon Bedrock Data Automation

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.