Turning audio with technical details and track results into structured data inside Notion
WhatsApp audios after each session → transcription with OpenAI → validation with Fillout Forms → normalized records in Notion. The team saves hours and historical data is one click away.
The starting point.
The racing team was rapidly recording pressures, lap times, and adjustments by voice after each session. That valuable information was scattered across voice notes and chats, making subsequent analysis difficult.
Cómo lo hicimos.
They designed a Zapier flow that receives audios via WhatsApp through Twilio, transcribes them with OpenAI, and runs them through Fillout Forms to validate key fields (pressure, temperature, times). After that, the information flows to Notion as normalized records.
Lo que cambió.
Full digitization
In the first month, every session was digitized without manual errors; technicians saved valuable copy-paste hours and gained instant access to historical data.
Performance improvement
Automated reports helped identify adjustments that shaved off critical tenths of a second in qualifying.
“Our technicians used to spend hours transferring voice notes to spreadsheets. Today every session is recorded instantly and automated reports help us shave critical tenths in qualifying.”
More case studies
Otros equipos que decidieron operar con orden.
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