What's said between lines stays

The problem

Four species in parallel, and the coordination lives in one head.

With several species cut in parallel, the lead's operational knowledge lives in their head and dies at shift's end.

• The cutting-room lead crosses the floor all shift with both hands busy: yields on the pork line, a knife team short on the lamb line, a beef primal coming out badly trimmed, a toll order that has to stay physically separate.
• What they see is real operational knowledge, and today it is held in memory, half a scrap of paper and a conversation in the corridor at handover.
• At shift end most of it evaporates, and the next lead starts by reconstructing what they can from whoever is still around.
• Which means that when yield on one species drifts over three weeks, nobody has the observations that would have explained it on day one. The analysis then starts from figures alone, and figures on their own tell you that something changed without ever telling you what.

How it fits the IRIS system

Connect in voice mode — the lead speaks, the system files.

Connect voice mode with a custom wake-word; the grounded LLM structures the dictation linked to the active line/species/shift.

The earpiece works with hearing protection and a custom wake word, so nothing is listening until the lead decides to speak. What they dictate arrives already tied to the active line, species and shift, and comes back read aloud for confirmation before it is filed. That is what turns a passing comment into something a yield analysis can actually use three weeks later.

See the full IRIS architecture →

Before and after

The lead's shift today versus the shift captured

Aspect	Today	With iLEAN Connect
An observation on the lamb line	Remembered, maybe	Filed with line, species and time
Handover	Three minutes in a corridor	A written summary already waiting
A recurring trim problem	Noticed by three people separately	Visible as a repeated entry
Lead's effort	Walk back to the office	Speak while walking, hands free
A toll order needing separation	A verbal instruction	An instruction with a trace
Ordinary floor conversation	—	Not recorded

knowledge dying at shift's end → entering the system in real time.

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 — an enabling piece. We do not put a month range on this one, because its value is not a line you can bill.
• What it buys is context: without these observations, no yield-per-species analysis explains why a line drifted, and no improvement plan knows where to start.
• Handover stops being reconstructed from memory, and the incoming lead walks in with the open issues already on screen.
• To be validated with whoever owns continuous improvement in the cutting room, since they are the ones who know what a repeated problem costs you today.

Hard to monetize upfront, but key to coordinating an abattoir running several species in parallel. *Estimate to be validated*.

And the fair question from the production manager

“Is this a way of keeping tabs on my team?” — no: iLEAN listens to the lead, not to the boners, and only to what the lead chooses to dictate after the wake word. There is no continuous listening and no tracking of where anyone is. On the structuring side, turning a dictated sentence into line, species, shift and issue type is an anchored task where the best models drop below 1.5% error [1], and what was understood is read back before it is filed.

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