AI automation by industry
The same processes hide in different places depending on what you sell. Three of these pages carry a measured result from a real project; two say plainly that we have not shipped in that industry yet and name what transfers anyway.
AI automation for real estate agencies
In a brokerage the hours disappear into three places: answering leads, scheduling viewings, and preparing contracts. We automated all three for a real-estate client and the deal cycle went from 14 days to 5, with lead response dropping from 6 hours to 8 minutes. Delivered in 4 weeks.
AI automation for equipment rental businesses
Rental operations break at the same point every time: the gap between a booking arriving and equipment being dispatched. We closed that gap for a rental client from 4 hours to 3 minutes, eliminated double-bookings entirely, and increased peak-season capacity 2.5x. Delivered in 3 weeks.
AI automation for private clinics
Clinic admin eats clinical time: intake forms, appointment chasing, and paperwork. We automated those for a private clinic and intake went from 45 minutes to 8, no-shows dropped 40%, and admin paperwork fell 75%. Delivered in 4 weeks, with patient data handling scoped to the rules of your jurisdiction.
AI automation for logistics companies
In logistics the automatable hours sit in order intake, dispatch coordination, and shipping documents arriving in twenty different formats. We have not shipped a logistics project yet — our closest is dispatch in equipment rental, where booking-to-dispatch went from 4 hours to 3 minutes. The process shape transfers; the domain rules do not.
AI automation for e-commerce businesses
In e-commerce the manual hours are rarely in the storefront. They are in order exceptions, supplier documents in mismatched formats, and a support queue answering the same questions. We have not shipped an e-commerce project yet; our closest is order processing in rental, where intake went from 4 hours to 3 minutes.