Evidence: Medium50/100

Formula 1 used Amazon Bedrock multi-agent RCA to resolve race-day issues faster

Use case typeIT operationsUpdated Jun 13, 2026

Formula 1 (F1) and AWS built a root cause analysis workflow that uses Amazon Bedrock and a multi-agent system to analyze logs, summarize findings, correlate incidents, and recommend fixes. The workflow helps engineers resolve race-day issues faster and supports proactive prediction and prevention.

Organization: Formula 1
Industry: Other
Location: United Kingdom
Published: June 2026

Reported outcomes

−86%

issue resolution time improvementTime & speed

Strategic outcomes

Speed & agilityResolved race-day issues fasterNew product / capabilityBuilt multi-agent root cause analysis workflow

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Issue resolution time improvement: 86% decrease

AWSJun 8, 2026Customer storyExplicit claimMedium evidence strength

resolves issues up to 86 percent faster

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Formula 1
Provider: AWS
Maturity: Unknown
Linked source: AWS

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Root Cause Analysis
2Incident Management
3Operational Intelligence

Rapidly diagnose and resolve technical issues during race day by analyzing large volumes of telemetry and log data and coordinating incident summaries and fixes.

An agentic RCA solution with Amazon Bedrock, large language models, and retrieval tools that ingests logs, retrieves relevant context, generates incident summaries, correlates related problems, and produces recommended remediation steps.
The system is designed to help engineers resolve issues faster and predict or prevent problems before they arise.

Technologies

Amazon Bedrock Amazon S3

The solution resolves issues up to 86% faster and helps predict and prevent problems before they arise.

Architecture

AWS and Formula 1 describe a root cause analysis workflow built with Amazon Bedrock, a multi-agent system, large language models, and retrieval tools to analyze logs, summarize findings, correlate incidents, and recommend fixes. The article also notes ongoing telemetry and historical data use on Amazon S3 across F1 operations.

Sources & evidence1

Evidence: Medium50/100Evidence strength