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· today in ai · 2026-09-01
OpenAI's own team doubled data coverage with Clay
Archive item — written before sources were shown.
OpenAI's revenue-ops team used Clay's AI agents to take data-enrichment coverage from 40% to 80%, one of three case studies on AI-native workflows.
OpenAI published case studies on September 1 covering how Basis, Clay, and Exa Labs restructured their own workflows around AI agents rather than bolting a chatbot onto existing processes. The most concrete number: OpenAI’s own revenue-operations team used Clay’s AI agent, running on GPT models, to automate account research, pulling from earnings reports and company sites, and took data-enrichment coverage from 40% to 80% while moving from a single data source to a multi-source model.
sources
- 01How AI-native companies turn workflows into operating capabilityopenai.com · primary
- 02How OpenAI is scaling their GTM motion with Clayclay.com · customer case study
Rami Steitieh