March 13, 2026
One in Three Orders Was Wrong. Not Anymore.
Pick items by hand and one order in three comes out wrong — a wrong delivery waiting to happen. See how automation pushed accuracy to 95%.

BAU Holding places around 600 material orders a month. Each one used to be built by hand — about 15 minutes of a person picking items off a list. And a lot of the time, they picked wrong: only about two orders in three came out correct.
The problem
On its own, 15 minutes an order doesn't sound like much. Multiply it by 600 and it's a serious slice of several people's month — pure routine, no judgment required. But the real cost wasn't the time. It was the errors. A wrong item chosen in the office became a wrong delivery on a construction site: the missing part, the material that doesn't fit, the crew standing around waiting. Roughly one order in three carried that risk downstream.
What we built
We fully automated order creation.
Instead of a person scanning a list and choosing, the system selects the correct items itself — the exact step where mistakes used to creep in. The human is out of the item-picking loop entirely, which is precisely why the errors went away. It runs on AgentVerse, our own AI-agent platform.
Before → after:
15 minutes to build an order → 30 seconds
~65% of orders correct → ~95%
Items picked by hand → items selected automatically
Results
One order in ~30 seconds instead of 15 minutes — 30× faster
Order accuracy up from ~65% to ~95%, so wrong items rarely reach the site
10+ employees freed from the routine and back on higher-value work
Fewer disruptions on site, because the orders that arrive are the right ones
Faster orders were the easy win. Right orders were the point.

May 23, 2026
We Deleted 1,080 Hours of Invoice Data Entry a Year
~200 invoices a month, typed into the ERP by hand. See how an agent took over the entire cycle — and lost invoices with it.

March 13, 2026
One in Three Orders Was Wrong. Not Anymore.
Pick items by hand and one order in three comes out wrong — a wrong delivery waiting to happen. See how automation pushed accuracy to 95%.

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It Knows the Whole Product — and Books the Meeting
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