What Loupe looks for

What it looks for. Proposals you sent that never got a yes or a no. Not won, not lost, not expired — just sitting there since the day you finished pricing them.

What it costs out. We measure how often your older quotes eventually did close, and apply that rate to the pile still waiting. The expensive part — the visit, the pricing — is already paid for.

What it looks for. Customers who used to come back and have not. Your own history sets the line — how long a gap is normal for the work you do, rather than a borrowed rule of thumb that means nothing in your trade.

What it costs out. How many are overdue on that line, how often people who go that quiet still come back, and what a repeat job is usually worth. All three come out of your records, not ours.

What it looks for. Work you already did, already invoiced, and never got paid for. This is the one that is not a maybe — the customer agreed to the amount.

What it costs out. Not the whole overdue pile. Plenty of late invoices land eventually, and counting them all would be exactly the inflated number this product exists to refuse. It is discounted by how often invoices that old have genuinely gone bad in your own books.

What it looks for. If an AI receptionist answers your phones, it follows those jobs the way it follows the ones your team booked: booked, completed, invoiced, paid. Vendors report the booking. Almost nobody reports what happened to the money after it.

What it costs out. The gap between the two, per booked job — with your own human bookings as the control group. No vendor benchmark, no outside data. And it measures a gap, not blame: AI usually gets the after-hours and first-time callers, which is a harder book.