PODs photographed in a cab, rate confirmations buried in email, carrier invoices that never match the quote. We build agents that read, match and post them, and escalate the ones that fail to reconcile.
One workflow, about 200 of your real documents, and a measured answer at the end. The pilot is credited in full toward the build.
Real files from the workflow, scans and photos included, labeled with the people who do the work.
Scored per field and per document type, so a weak format shows up as a figure, not a surprise.
Where it broke, why, and what fixing each case would take.
A scoped proposal if the workflow is a fit, or an honest no with the evidence if it is not.
Do the arithmetic first: hours per week your team spends on the workflow, times their loaded hourly cost, times 52. That yearly figure is what the pilot and the build should be weighed against.
Photos and scans turned into structured delivery records, matched to the order, with the unreadable ones routed to a human instead of guessed at.
Carrier invoices checked line-by-line against rate confirmations, so overcharges surface as exceptions instead of leaking through accounts payable.
An agent that reads the tracking data and answers the "where is it?" email with a citation, handing the unclear ones to ops.
10 articles on the systems, costs and trade-offs in this space.
Not yet. Our published case studies are in manufacturing and platform builds. The machinery is the same document-and-workflow work, and the pilot lets you verify it on your own freight documents before committing to anything.
Format variety is the core problem we test in the pilot. The accuracy report is broken out per document type and source, so a weak format shows up as a number rather than a surprise in production.
Pick the workflow that costs the most hours, usually POD processing or carrier invoice reconciliation, and send about 200 recent documents. The two-week pilot measures accuracy on those, and it is credited in full toward the build.
Next step
Two weeks gets it working on your own documents, with an accuracy number you can check. If the number is bad, you keep the failure analysis and walk away.