Two-tap validation

The problem

In an audited plant, an unsigned data point is worse than no data point.

The fear that AI will "enter data on its own and someone will have to clean up the ERP/MES master" is the main cultural brake on digitization in an IATF-audited environment, where a mis-traced data point has audit consequences.

• The fear is specific and reasonable: that AI starts writing into the ERP on its own and somebody spends months cleaning the master afterwards.
• In an IATF-audited plant a mis-traced data point is not an annoyance, it is a finding, and findings are what put a certificate and a customer approval at risk.
• So the plant swings between two bad options: not capturing the data at all, or capturing it with nobody's name attached to it. Both end the same way, with a quality lead who will not sign.
• That is the real cultural brake on digitizing a molding shop, and no amount of model accuracy removes it by itself.

How it fits the IRIS system

Connect in early human verification mode — the AI proposes, a person signs.

Connect early human verification mode. Every capture — a photographed process sheet, a headset-dictated incident, a resin-delay email — goes to the tablet with a visual summary before crossing to the master. One tap confirms, another corrects.

This is what separates iLEAN from an autonomous agent that writes unsigned data. Every capture from the other eleven cases stops here first — a photographed process sheet, a dictated incident, a resin delay — and the plant decides what crosses. It costs two seconds and it is the reason the rest gets approved.

See the full IRIS architecture →

Before and after

Data entry today versus the signed summary

Aspect	Today	With iLEAN Connect
Path into the master	Typed by whoever has a seat	Proposed by iLEAN, confirmed by a person
Time spent per capture	Minutes of typing	Two seconds and two taps
A wrong value	Cleaned out of the master weeks later	Caught before it crosses
What the record shows	Who typed it, if anyone recalls	Who confirmed, when, on which screen
The team's trust in the AI	The main brake on the project	Nothing moves without a signature
A correction made at the tablet	Lost	Fed back so the capture improves

unvalidated data contaminating the ERP/MES, or data not captured out of distrust → data captured and validated in seconds, clean master.

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, and the brief frames it as strategic value rather than a direct business case.
• Without it, none of the other eleven get signed off with confidence in an IATF-audited environment — that is the entire argument.
• A clean master, which is what an audit and a customer approval are actually looking at.
• Data that gets captured instead of being skipped out of distrust, which is the hidden cost nobody puts a number on.

enabling piece of the whole iLEAN matrix — without it, none of the other eleven pieces get signed off with confidence in an IATF-audited environment. Strategic value, not directly monetizable.

And the fair question from the production manager

"Two taps per capture, times every cell and every shift — does that add up to a job?" — it does not, because the summary is built to be read in two seconds and the supervisor only ever confirms or corrects. And it is the cheap half of the insurance: extraction is an anchored task where the best models drop below 1.5% error [1], and this step is there for the remainder, which is exactly the one an auditor would find.

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