A headset so plant knowledge never gets lost

The problem

Recurring problems are never spotted as recurring.

the tacit knowledge of whoever walks the floor daily never gets recorded because there's no easy way to capture it without stopping.

• The section lead knows more about the plant than any system: which mill has been running hot since the last origin change, which sifter blinds up with turmeric and not with cumin, which sachet former drifts after two hours.
• Nobody asks them anything because they cannot type with gloves on in a dusty area, and they record nothing because recording means walking back to the office, washing up and opening a system.
• What survives is a five-minute verbal handover and, at best, a line in a notebook that nobody reads again. Everything else evaporates at the door.
• The cumulative effect is worse than it looks: the same problem gets solved again every time, by a different person, with no memory of the three previous attempts. The plant pays for the same diagnosis four times a year.

How it fits the IRIS system

Connect in voice mode — iLEAN listens to the section lead, not to the line.

Bluetooth headset + Connect voice mode, recognition grounded in plant-specific vocabulary, automatic alert to quality or maintenance when needed.

Humans in command taken literally: it records what the section lead chooses to tell it, when they choose to. There is no open microphone and no background capture. That distinction is not cosmetic — it is what keeps the case alive in month six instead of being read on the floor as control of people, which is how these deployments die.

See the full IRIS architecture →

Before and after

Today's shift versus the captured shift

Aspect	Today	With iLEAN Connect
Floor knowledge	Lost at shift end	Accumulated, queryable memory
Shift handover	Five verbal minutes	A written summary, ready
A repeat sifter blinding	Invisible: solved again each time	Detected as a pattern with dates
Section lead's effort	Walk back to the office	Speak while walking
Training a new blender	Depends who is beside them	Backed by the history
Ordinary conversation on the floor	—	Not recorded

knowledge lost at shift end → searchable history by line and date.

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.

• No standalone payback: this is an enabling piece. It is not sold on months, and presenting it that way would be dishonest.
• What it changes is the number of recurring incidents that get diagnosed instead of being solved from scratch every time by whoever happens to be on shift.
• It feeds the batch history that the evidence pack and the flagship organize: without a voice log, the dossier has holes exactly where the floor knows most and writes least.
• And onboarding a new section lead or blender stops depending on who happens to be standing next to them that week, which in a lean team is the difference between three months and one.

reduction in undiagnosed recurring issues. *Estimate to validate*.

And the fair question from the production manager

"Is this here to keep track of my team?" — no: iLEAN listens to the section lead, not to the operators, and only to what they choose to dictate. There is no continuous listening and no location tracking. On the transcription side it is an anchored task with plant-specific vocabulary, where the best models drop below 1.5% error [1], and anything unclear is left for the person to confirm rather than guessed.

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