// Systems that run themselves
Operator builds AI systems that take manual work off your books. Deployed inside multi-billion-dollar companies and live client operations. Every build is underwritten like an investment: payback first, software second.
Deployment log
Each unit below is a live system, written the way a CFO reads it: what it replaced, and what it returned.
// client + employer names withheld by agreement — details and references shared in conversation
Approach
We map where hours and dollars drain out of your operation — re-keying, chasing, reconciling — and put a number on it.
I design and deploy the automation myself. No offshore hand-off, no 40-page discovery. Working software, fast.
You get the payback math before we start and the measured result after. If the ROI isn't there, I'll tell you first.
About
Operator is run by Yuvraj Dhanoa. I studied Finance at UC Berkeley, then led AI innovation inside enterprise software companies — designing and shipping the systems in the log above.
That combination is the point. Most automation pitches come from engineers who can't read a P&L, or salespeople who can't build. I underwrite the decision like an investor, then build the thing myself.
Operator takes on a small number of clients: operations-heavy businesses and franchise organizations where manual process is quietly the biggest line item nobody budgets for.
Next step
Bring the process that eats your team's week. I'll tell you what an automated version returns — and whether it's worth building.
// if automation isn't the right answer for your operation, I'll say so