The evidence pack that builds itself, ready for the auditor

The problem

Before every audit, someone rebuilds the trail by hand.

Records are spread out, some on paper, others in different spreadsheets per warehouse — reconstructing it is slow and prone to gaps. The result is a non-conformity that could have been avoided if the evidence had existed from the start.

• An IFS Logistics or BRC Storage & Distribution audit is coming, or an ADR inspection, and someone has to rebuild the period's receiving, segregation and shipping trail.
• Records are scattered: some on paper, others in a different spreadsheet per warehouse, others in the WMS and a few only in someone's memory. Each warehouse keeps them its own way, so the same movement looks different depending on where it happened.
• Rebuilding them is slow and prone to gaps, and the gaps are found by the auditor, not by you. The same records are rebuilt again for every standard and every client that audits.
• The result is a non-conformity that could have been avoided if the evidence had existed from the start, and a corrective action plan that keeps the team busy for weeks. And the client who audits next month will ask for the same trail, filtered by their own goods.

How it fits the IRIS system

Edge captures each critical movement as it happens — the dossier assembles itself.

Every critical movement — receiving, ADR segregation, shipping to a sensitive client — generates a pre/post photo, a timestamped decision log, and sign-offs. IFS Logistics, BRC Storage & Distribution, ADR — each with its own folder, ready to download.

A dossier rebuilt afterwards inherits every gap of whatever nobody wrote down. One built at the moment of the movement has no such gaps, because the photo, the decision and the signature are taken together. When the audit is announced, the work is reviewing a pack that already exists, not hunting for one. For a multi-client operator the effect multiplies, because the same receiving can be evidence for IFS Logistics, for an ADR inspection and for the food client whose goods were involved.

See the full IRIS architecture →

Before and after

Rebuilding for the audit versus a dossier already built

Aspect	Today	With iLEAN Edge
Pre-audit preparation	Days of scattered work	Zero manual reconstruction
Evidence per movement	Whatever was written down	Pre/post photo, log and sign-off
Organization	One spreadsheet per warehouse	By standard and by warehouse
IFS Logistics, BRC, ADR	Same records, rebuilt three times	One folder per standard
Auditor's access	Binders and screens	Downloads the period's pack
Missing record	Found by the auditor	Visible when it happens

Before: days of scattered work reconstructing traceability before every audit. After: the dossier builds itself, organized by standard and by warehouse.

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.

• Estimated payback 6-12 months, depending on the number of standards, warehouses and client audits per year.
• Zero manual pre-audit reconstruction: the dossier is already built when the audit is announced.
• The auditor downloads the period's evidence pack without anyone at the operator spending hours preparing it.
• And the non-conformities caused by gaps in records stop appearing, because the gap is visible on the day it happens and can be closed then.

Payback 6-12 months · zero manual pre-audit reconstruction. The auditor logs into the site and downloads the period's evidence pack without anyone at the operator spending hours reconstructing anything.

And the fair question from the production manager

“Is this just another document repository?” — no: a repository stores what someone decides to upload afterwards. Here each movement leaves its own evidence at the moment it happens, and tagging that evidence by standard, warehouse and client is an anchored task, where the best models drop below 1.5% error [1]. The decision log keeps who signed off each movement, so the record has a responsible person, not just a file. And a missing photo or signature is flagged when it should have been generated, not discovered on the auditor's day.

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