From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations
Not a pilot. Formula 1 deployed AI agents across its entire data platform—cutting onboarding from 8 weeks to 40 minutes.
Why it matters
Agentic AI is moving from proof-of-concept to production at scale. F1's Data Accelerator shows how autonomous agents handling schema evolution and data integration can compress weeks of manual work into minutes—a concrete model for enterprise deployment that practitioners are actively evaluating.
The key facts
12 to knowData source onboarding reduced from 8 weeks to ~40 minutes
Built on Amazon Bedrock AgentCore (agent infrastructure)
Automated schema evolution—agents handling data structure changes autonomously
End-to-end observability across fan-engagement data estate
Production deployment across MarTech data platform (not pilot)
AWS partnership case study (published Aug 2026)
F1 cut data source onboarding from up to 8 weeks to approximately 40 minutes
Built on Amazon Bedrock AgentCore (agent platform/infrastructure)
Automated schema evolution across data platform
End-to-end observability gained across fan-engagement data estate
Uses agentic AI for MarTech data operations
AWS partnership/co-developed solution
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Formula 1® partnered with AWS to build the Data Accelerator, using agentic AI on Amazon Bedrock AgentCore to transform its MarTech data platform. Learn how F1 cut data source onboarding from up to 8 weeks to about 40 minutes, automated schema evolution, and gained end-to-end observability across…