For each industry: what peers have already achieved, and how the math would work for you.
Review queues are the most labor-dense desks in finance. Their output is already measured: minutes per case, false-positive rate, the cost of a miss. That makes the baseline easy and the ledger clean.
Inspections, tickets and dispatch are the routine paperwork of asset-heavy industries. Volume is high and unit prices are clear. The first workflow usually shows numbers within four weeks.
QA desks are costed by headcount, so the math is direct: how much of the inspection workload AI takes on, and what happens to the miss rate. Line data stays inside your boundary, so isolated deployment fits.
Incorporation and licensing, regulatory alignment, local channels and partners — we did all of this for ourselves first, and now do it for clients. Bringing Chinese models and AI products into overseas markets, compliantly, is a route we run every day. You bring the product; we pave the road until you are open for business.
You do not need to be a giant to deserve this ledger. A 400-person company grew support volume 7× with no new hires. A regional credit union saved $4.4M a year on one hotline.
On-premise, private cloud or isolated network. Your data never leaves your systems.
The ledger is always open. Every weekly number traces back to individual calls. Net benefit is measured against the baseline both sides signed.
After each acceptance you decide whether to continue. The system, your data and the golden set belong to you.