Build an AI-powered AWS support companion with Amazon Bedrock AgentCore

2026-07-07 · Source: Artificial Intelligence · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Software Development & Engineering · Depth: Intermediate, medium

Summary

An AI-powered AWS Support Companion can be built using Amazon Bedrock AgentCore, consolidating incident investigation tasks into a single conversational interface. This solution, detailed in a recent post, leverages Strands Agents for orchestration and connects to AWS services via the Model Context Protocol (MCP). It enables analysis of CloudWatch logs, searching AWS documentation, querying AWS re:Post community knowledge, and creating support cases. The companion deploys with a single AWS CloudFormation script, featuring an AWS Amplify-hosted React frontend. It integrates Amazon Bedrock Guardrails for content filtering, prompt injection blocking, and PII redaction, alongside Amazon Cognito for authentication and AWS WAF for rate limiting. This approach aims to reduce the 30–45 minutes typically lost to context-switching during manual incident investigations.

Key takeaway

For AWS operations teams seeking to accelerate incident response, building an AI-powered support companion with Amazon Bedrock AgentCore offers a significant efficiency gain. You can reduce manual context-switching by consolidating log analysis, documentation search, and support case creation into a single conversational interface. Consider deploying this solution to automate repetitive tasks, freeing engineers to focus on resolution rather than investigation. Ensure your AWS Support plan meets the requirements for full functionality.

Key insights

Consolidating AWS incident investigation with an AI agent significantly reduces context-switching time.

Principles

• AI agents can unify disparate operational tools.
• Standard protocols (e.g., MCP) enhance agent interoperability.
• Robust security layers are essential for production AI agents.

Method

The solution involves deploying a Python Strands Agent application to Amazon Bedrock AgentCore, connecting it to AWS services via MCP servers and an AgentCore Gateway, and fronting it with an Amplify React app.

In practice

• Analyze CloudWatch logs via conversational interface.
• Search AWS documentation and re:Post directly.
• Create AWS support cases from chat.

Topics

• Amazon Bedrock AgentCore
• AI Agents
• AWS Support Automation
• Incident Response
• Cloud Operations
• Model Context Protocol

Code references

• aws-samples/sample-support-agent-with-agentcore

Best for: AI Engineer, MLOps Engineer, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.