Iberdrola Leverages Amazon Bedrock AgentCore for Agentic IT Operations
Coverage of aws-ml-blog
In a recent case study, the AWS Machine Learning Blog details how global utility leader Iberdrola is transforming its IT service management by deploying agentic workflows powered by Amazon Bedrock.
In a recent post, the aws-ml-blog details how Iberdrola, a global energy leader, has integrated Amazon Bedrock AgentCore to modernize its IT operations within ServiceNow.
The Context
For large enterprises, IT Service Management (ITSM) is often a bottleneck. Teams struggle with thousands of change requests and incident tickets that require manual validation, categorization, and context gathering. While traditional automation handles linear tasks, it often fails when decision-making or complex reasoning is required. The industry is currently shifting toward "agentic" architectures-where AI models function as autonomous agents capable of reasoning, retrieving data, and executing multi-step workflows to solve these operational inefficiencies.
The Signal
The AWS post outlines Iberdrola's transition from standard automation to an AI-driven approach. By utilizing Amazon Bedrock AgentCore, the company has deployed agents that interact directly with their ServiceNow infrastructure. The implementation focuses on three primary areas:
- Change Request Validation: Instead of manual reviews, orchestrated agents validate multi-phase change management processes, reducing the rate of manual resubmissions.
- Incident Enrichment: A "swarm of agents" provides contextual intelligence for the networking department, automatically appending relevant data to incident tickets to speed up resolution.
- Model Selection: A conversational interface assists users in selecting the correct change models, simplifying what is typically a complex administrative task.
This deployment is significant because it moves beyond simple text generation (GenAI) into functional execution, utilizing serverless compute and integrated observability to maintain security and reliability at an enterprise scale.
Conclusion
For engineering leaders interested in the practical application of AI agents in ITSM, this case study offers a concrete example of production-ready architecture. It demonstrates how agentic workflows can tangibly improve ROI by reducing manual overhead.
Read the full post on the AWS Machine Learning Blog
Key Takeaways
- Iberdrola is utilizing Amazon Bedrock AgentCore to inject agentic AI into ServiceNow workflows.
- The implementation uses 'swarms of agents' to enrich incident tickets with contextual intelligence.
- AI-driven validation has streamlined the multi-phase change request process, reducing manual bottlenecks.
- The project highlights the shift from experimental GenAI to functional, serverless AI agents in enterprise production.