Two taps that keep the ERP clean

The problem

The fear of a dirty ERP master stops digitization before it starts.

the fear that AI will "enter data on its own and leave someone to clean up the ERP master" is the main cultural brake on digitization. But the supervisor doesn't want to type between stations either.

• The main cultural brake is not technology: it is the fear that AI will enter data on its own and leave someone to clean up the ERP master.
• On a workwear floor that fear is concrete: it is not abstract caution, one wrong size or color in the master travels into labels, cartons and a customer program shipment.
• But the supervisor will not type between stations either, so the alternative today is data entered late or not captured at all. Late data is useless for the shift that needed it, and missing data is worse.
• Either way the master is wrong: contaminated by unvalidated data, or empty out of distrust. And the people who have to clean it up are rarely the ones who caused the error.

How it fits the IRIS system

Connect with early human validation — a 2-second summary and two taps.

Connect early human-validation mode. Every capture (bundle ticket, voice, email) goes to the tablet with a visual summary before crossing to the master. UI built for 2-second validation.

This is the piece that makes the other eleven approvable. Every capture crosses into the master with the name of the person who saw it, and nobody has to choose between a clean ERP and a captured floor. The tablet is where trust in the rest of the system is built, one confirmation at a time.

See the full IRIS architecture →

Before and after

Today's data entry versus validated entry

Aspect	Today	With iLEAN
What reaches the ERP master	Unvalidated data, or nothing	Data a person has seen
Supervisor's time per capture	Walk to a terminal and type	Two seconds, two taps
Latency	Hours or days	Seconds
Who answers for a value	Whoever typed it	Whoever confirmed it
A wrong size or color	Found on the label or the carton	Fixed on the tablet
Can AI write on its own	—	No, by architecture

unvalidated data contaminating the ERP, or data not captured at all out of distrust → validated data with seconds of latency, clean master.

Impact estimate

Enabling value — no payback of its own, and stated as such.

The block below is an estimate to be validated against your plant's actual data. We put it forward so the committee has an order of magnitude; we refine it during the assessment.

• No standalone payback: it is the enabling piece for the whole matrix, and we prefer to say so rather than force a number onto it.
• Its value is strategic and not directly monetizable: it is what lets the payback of the other cases be approved. Without it, IT and quality do not sign off on any case that writes to the master.
• The ERP master stays clean: validated data with seconds of latency instead of unvalidated data or no data.
• And every value carries the name of the person who confirmed it. When a customer program asks who entered a value, the answer is a name, a time and the original capture.

the enabling piece for the whole iLEAN matrix. *Strategic value, not directly monetizable*.

And the fair question from the production manager

“If a person confirms everything, what is the AI saving?” — the work is in assembling, not deciding: reading a bundle ticket, a dictation or a supplier email and laying it out as fields is an anchored task, where the best models drop below 1.5% error [1]. The supervisor only looks at a summary that is already assembled and confirms or fixes. Every fix is stored, so the system learns where its reading fails. The supervisor's two seconds are where the whole matrix earns the right to touch the ERP.

^[1] OpenAI paper "Why Language Models Hallucinate", 2025 — on the reliability of AI in anchored tasks.