No critical alert gets read too late again

The problem

The email that changes the line schedule is read hours after it lands.

critical alerts — from a steel supplier or OEM engineering — reach specific people who don't monitor their inbox in real time. By the time they're read, line decisions have already been made that now need undoing.

• Two kinds of email reshape a tube plant's day: the steel supplier warning that a coil shipment slips 48 hours, and the OEM sending an Engineering Change Notice that moves a tolerance on a program.
• Both land in a personal inbox, in free text, among a hundred other messages, addressed to people who do not watch their email in real time.
• Human latency is typically 2-4 hours. By then a line may already be scheduled — or running — against the old spec or against steel that will not arrive.
• An ECN read late means tubes cut to a tolerance the OEM no longer accepts; a steel delay read late means a tube mill set up for a coil that is not on the dock.

How it fits the IRIS system

Connect in chaotic-sources mode — a mailbox in silent copy, around the clock.

Connect's chaotic-sources mode — a mailbox in 24/7 silent copy. An LLM extracts intent and key entities (supplier/OEM, affected program, dates, tolerance) and cross-references the ERP, returning a specific action to the right role.

Reading the email sooner is only half of it. What matters is that it comes back crossed with the ERP: which programs use that steel grade or that drawing, which line is scheduled against it, and who has to decide. The alert arrives already translated into an action for the role that owns it.

See the full IRIS architecture →

Before and after

The alert in an inbox versus the alert crossed with the ERP

Aspect	Today	With iLEAN Connect
Human latency	2-4 hours	Seconds
An ECN changing a tolerance	Applied when someone reads it	Flagged against every affected program
Coil slipping 48 hours	Tube mill set up for missing steel	Sequence rescheduled on the real date
Tubes already cut to the old spec	Found at the OEM	Held before shipment
Who is told	Whoever was in the To: field	Planning, quality or engineering, by content
Final decision	The recipient, late	The responsible manager, with the action proposed

2-4 hours of human latency → seconds. Rescheduling based on the real alert, not on something read too late.

Impact estimate

Estimated impact — to validate with your own 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.

• Estimated payback 3-7 months, depending on how often critical alerts reach you.
• Unplanned stoppages avoided: a tube mill set up and waiting on steel that is not coming, with the crew standing by.
• Production against an obsolete specification avoided, before it ends up as scrap or a customer complaint.
• From 2-4 hours of human latency to seconds, with rescheduling based on the real alert, not on one read too late. The line is set up for the steel that will actually be there.

avoided unplanned stoppages and producing against an obsolete spec, estimated payback 3-7 months depending on alert frequency. *Estimate to validate*.

And the fair question from the production manager

“Is iLEAN going to read our engineers' mail?” — no. It sits in silent copy on one operational mailbox agreed with you, the one suppliers and OEM engineering already write to. Classifying the intent of an alert and pulling the program, date and tolerance is an anchored task, where the best models drop below 1.5% error [1] — and the action is proposed, never executed on its own.

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