Case studies · 4 builds in production

What we built, and what it stopped costing.

Every entry names the leak, the two-sentence scope, the systems involved, and the day it went live. Numbers are measured, not projected. Where we don't have one yet, we say so.

Across all buildsPlaceholder totals
5,000+
hours saved · placeholder
$250K+
labor avoided · placeholder
40+
businesses running
[ 01 ] · The ledger

One leak, one fix, one number. 4 builds.

Distribution · Case studyDay 19
14 hrs/wkBACK TO THE FINANCE TEAM

Automating invoice approval for a building-products distributor.

PO, receipt, and invoice were matched by hand across two systems, by a three-person finance team. Now the match runs nightly and flags only the 4% that need eyes.

Field service · Case studyDay 24
+31%JOBS PER TRUCK PER DAY

Building a live dispatch board for a 40-technician HVAC company.

Dispatch lived in one person's head and on a whiteboard. The board knows every tech, every truck, and every open job in one view.

Manufacturing · Case studyDay 17
0DISCREPANCIES, FROM 38

Syncing six systems into one inventory count for a manufacturer.

ERP, CRM, and four spreadsheets each held a version of inventory. One nightly sync, and month-end closes in a day.

Fulfillment · Case studyDay 21
0.4%PICK ERROR RATE

Building a barcode scanning app for a 60,000 sq ft warehouse.

Paper pick lists, errors found on delivery. A scan-to-confirm tool on the forklift tablet catches them where they happen.

Client names are withheld until we have written permission. Numbers come from the client's own systems after launch.

Your leak probably looks like one of these. Bring it to the call.

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