Supervisor's voice, live

The problem

The best-informed person in the plant is the one who cannot type.

Critical operating knowledge — more flash on a cell since the last mold change, an operator who needs support, a color that doesn't match — lives in the supervisor's head and never reaches the system.

• The floor supervisor walks the whole shift with their hands full: they know which cell has been throwing more flash since the last mold change, which operator needs backup, which color is not matching.
• Nobody asks them for anything in writing, because writing means walking to the office and logging in, and by the time they get there three other things have gone wrong.
• What they know leaves with them at the end of the shift, and the next shift starts the same diagnosis from scratch.
• The cumulative cost is invisible: the same problem gets solved three times by three different people, and nobody ever sees it was the same problem.

How it fits the IRIS system

Connect in voice mode — iLEAN listens to the supervisor, not to the operators.

Connect voice mode with a custom wake-word. A language model structures the dictation as an incident linked to the active mold, cell and shift. Support returns in seconds, by voice or push alert.

Humans in command, taken literally: it records what the supervisor chooses to say, when they choose to say it, and hands support back in seconds by voice or as a push alert. That distinction is not cosmetic — it is what keeps the case alive in month six instead of being read as control over the floor.

See the full IRIS architecture →

Before and after

Today's round versus the captured round

Aspect	Today	With iLEAN Connect
An observation on the round	Stays in the supervisor's head	An incident tied to mold, cell and shift
Flash creeping up since a mold change	Mentioned in passing	Logged, dated, linked to that mold
Getting it into the system	Walk to the office and log in	Said out loud while walking
Support for the operator who asks	When someone remembers	Back in seconds, by voice
A color that does not match the master	An argument at the end of the shift	A dated record with its resin lot
Input for continuous improvement	Whatever people recall in the meeting	A dated list per press

knowledge that dies at shift end → enters the system in real time and gets cross-referenced with live data.

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, and the brief says so plainly: this is an enabling piece, the hardest of the twelve to monetize on its own.
• Its value is that every continuous improvement plan on the floor depends on this information existing somewhere other than one person's memory.
• The recurring problem finally shows as recurring, because three separate observations on the same mold end up in the same place.
• Worth sizing with the continuous improvement lead, not with the CFO: it is a precondition for the other eleven, not a line item.

hard to monetize upfront, but every continuous improvement plan on the floor depends on this information existing. Estimate to validate with the continuous improvement lead.

And the fair question from the production manager

"Is this here to check up on my team?" — no: iLEAN listens to the supervisor, and only when the supervisor speaks to it. Structuring a dictated incident is an anchored task, with a closed vocabulary of molds, cells and defects, where the best models drop below 1.5% error [1] — and anything it structures is shown back to the supervisor before it is saved.

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