The problem
Lyft Commodity's 20 traders generate roughly $250,000/year each, but every one of them spent 30-60 minutes per day transcribing voice notes and meeting recordings into trade systems. At an effective hourly rate of ~$133, that manual entry was costing the firm $346,253 a year in direct labor before counting the opportunity cost of trader time not spent prospecting and negotiating.
What we built
We built an AI transcription and summary pipeline that ingests voice notes and meeting recordings, auto-summarizes key decisions, action items, and trade details, tags and routes summaries to the right CRM and dashboard fields, and integrates directly with their downstream trade system. Traders speak. The system writes.
Results
- $346,253/year in direct manual-entry labor cost eliminated
- 2,400 trader-hours/year reclaimed (~$319,128 in opportunity value at $133/hr)
- 192% first-year ROI: ~$2 returned for every $1 of prior manual-entry burden
- Investor signal: modern AI workflow contributes to firm valuation premium