Verify in two taps, before the data crosses into the ERP

The problem

The fear is not the AI. It is a contaminated ERP.

The main cultural blocker to digitizing the plant floor is the fear that AI enters data unsupervised and contaminates the ERP. But operators don't want to type either.

• The biggest cultural blocker to digitizing a white-goods floor is simple: nobody wants an AI entering data into the ERP unsupervised, and quality and IT are right to say so.
• A wrong compressor batch or serial range in the master data surfaces months later, in a warranty claim nobody can trace back to the line.
• At the same time, operators and line leads do not want to type. So data is either entered late by someone who never saw the line, or not captured at all.
• The result is the worst combination: distrust of automation and an ERP that is still incomplete, with the gaps filled by memory. Every month the plant waits, that gap grows. And the arguments against digitizing stay exactly where they were.

How it fits the IRIS system

Connect with early human verification — the AI proposes, the supervisor confirms.

Every capture — a Work Order photo, a voice- dictated issue, a parsed email — first lands on a tablet as a 2-second visual summary. The supervisor confirms (✓) or corrects (✏️) before the data crosses into the master system.

This is what separates iLEAN from an "autonomous" AI. Every datum enters the ERP with the name of the person who confirmed it, and that is what makes the other eleven cases acceptable to quality and to IT. Without this piece, the matrix does not get approved.

See the full IRIS architecture →

Before and after

Line data today versus line data confirmed on the tablet

Aspect	Today	With iLEAN Connect
What enters the ERP	Typed late, or nothing	Confirmed summaries only
Supervisor's effort	Walk to a terminal	Two taps, about two seconds
A wrong value	Found in a warranty claim	Corrected before it crosses
Who answers for the datum	Whoever typed it	Whoever confirmed it, by name
AI writing alone	The fear that blocks the project	Impossible by design
Corrections made	—	Kept as feedback to the model

Unvalidated data, or data not captured out of distrust → captured and validated data with seconds of latency.

Impact estimate

Impact estimate — to be validated with your numbers.

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: this is the enabling piece of the whole matrix, so we do not give it a number of its own.
• Its value is strategic: it is what lets the Work Order, delivery note, lab and labeler cases write into the ERP at all.
• Data that was unvalidated, or never captured out of distrust, becomes captured and validated data with seconds of latency.
• And master data stays clean, which is what any serial-number, batch or warranty investigation depends on months later. Every confirmation also leaves a trail: who confirmed, when and what was corrected.

Enabling piece for the whole iLEAN matrix — strategic value, not directly monetizable.

And the fair question from the production manager

"If someone confirms everything anyway, why the AI?" — because the work is in assembling, not in deciding. Reading a Work Order or a supplier email is an anchored task where the best models drop below 1.5% error [1], so the summary almost always arrives right and the supervisor only confirms. When it is wrong, the correction takes seconds and is stored, so extraction improves at that exact point. Over time, the supervisor corrects less and confirms faster.

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