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Hishmeh AI

104-store QSR franchise

The assistant inside the operations platform a 104-store franchise runs on. It reads the same live sales, labor and service-time data the reports do, and answers in plain language — including the part most dashboards leave out: which of the numbers actually deserve your attention.

“Which stores lost money on labor last week?”
Six stores were over target. It names the three worth acting on, separates a one-off bad closing shift from a schedule template that has been wrong all along, and says which one keeps costing money until someone changes it.
“Who's about to hit overtime this week?”
Hours worked plus hours still scheduled, projected to the end of the week — so the list is people you can still do something about, not a report of money already spent.

Helping Hands AI

Home care staffing

A staffing assistant for a home-care agency. Covering a shift means answering three questions at once — who is active, who is cleared to work, and who is actually free — across systems that do not talk to each other. It does that in one pass and hands back a ranked answer.

“The Tuesday morning shift in Oxnard just opened up. Who can take it?”
Three candidates, ranked, with the tradeoff stated — drive time, current hours, whether the client already knows them. It also volunteers the two it ruled out and why, so you can see the search was complete.
“Who's coming up on their TB test expiring?”
Four expiring, but only one is booked to work past their expiry date — that is the one that actually stops a shift. Note that it keeps to the question and offers the CPR lapses separately rather than folding them in.

LaundryDash AI

Laundromat reconciliation

Built for a laundromat group whose money arrives through three systems that each report it differently. The assistant reconciles machine revenue against card settlements against bank deposits, and explains the gap instead of just printing it.

“Why's the water bill so high?”
Finds that one store is using 54 gallons a wash where the others average 38, converts that to about $70 a week, and suggests looking for a leak before assuming the rate went up.
“What's broken right now?”
Three machines down. It flags which one is actually costing money, and which is probably just a card reader that lost network and needs a power cycle rather than a service call.

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Every clip runs on a generated dataset. No client data appears in any of them.