incident_management · media · workflow
Formula 1 uses Amazon Bedrock generative AI to reduce race-day issue resolution time by 86%
F1 IT engineers faced critical operational issues during live race events that could take up to 3 weeks to triage, test, and resolve, requiring coordination across development, operations, infrastructure, and networking teams. A recurring web API issue alone consumed 15 full engineer days across multiple events.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Engineer submits natural language query
Users ask the RCA chat-based assistant questions using natural language prompts.
Tools used
Amazon BedrockAmazon Bedrock AgentsAmazon Bedrock Knowledge BasesAmazon CloudWatchAWS GlueApache SparkAmazon S3Amazon EventBridgeAmazon EC2AWS FargateAmazon ECSClaude 3 SonnetStreamlitJira · partnerDatadog · partner
Outcome
The RCA assistant reduced end-to-end resolution time by as much as 86%, cut initial triage time from more than a day to less than 20 minutes, and enabled engineers to receive query responses within 5–10 seconds.
Results
Time saved86%
Grounding & classification
Source type: technical build writeup
45 fields verified against source quotes.
agentic workflowai agentconversational aiknowledge searchragknowledge basehuman review describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedmediacycle time reductionemployee productivityresolution time reductiontime savedtechnical build writeupincident managementit supportagentic task executionescalation workflowrag answering