From five days to two hours.
Forward-deployed automation for a global logistics group, an air-cargo operation drowning in manual, twice-monthly reconciliation. I found the highest-ROI fix, quantified it, and shipped it, in under two months.
A full-time, multi-day task, twice a month, now runs in an afternoon.
A rule-based engine flags discrepancies the manual process missed.
The person freed from data entry moved on to work that needs judgment.
Every month, twice a month, the accounting team processed a high volume of airway bills. They received scanned bills by email, hand-keyed each one into Excel, then reconciled them line by line, cross-checking the airway bills from airport operations against the operational cargo system to flag every inconsistency before reporting to the airlines.
It was slow, repetitive and error-prone: effectively a full-time person’s job just to keep up, with manual mistakes slipping through and a hard deadline at every close. The kind of work that quietly consumes a headcount without anyone deciding it should.
An automation pipeline that runs the whole flow. Upload the scanned airway bills, and the system extracts every relevant field into Excel, then performs the full reconciliation and cross-check automatically. A rule-based accuracy engine catches the discrepancies humans used to miss, holding the process at 97% accuracy.
This is what “AI for your business” should actually look like: pick the process that’s quietly costing you a headcount, quantify the saving, and ship a reliable fix in weeks. Not a rip-and-replace, not a science project.
Let’s find yours.
Book a free 30-minute ROI diagnostic. Bring one process that’s costing you time or money, and I’ll tell you whether it’s worth automating, and roughly what you’d save.