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Industry report: process capture in manufacturing.

The report describes how order-to-delivery, supplier onboarding, production planning and complaints typically run in a manufacturer, where the knowledge about them gets lost between the quality manual, people's heads and the systems, which public frameworks make documented processes, records and supplier due diligence a prerequisite, where AI agents can help once those processes are visible, and how to start with one process. This page is the summary; the full report is sent by email on request.

Key points

What the report says

Five chapters, one argument: in a plant the process crosses more departments than anyone owns, and the waiting happens at the seams. The process has to be visible end to end before it is improved or automated. Fictional examples, no client data.

1

The order crosses every department

Sales, planning, production, quality, logistics and finance each own a third of order-to-delivery and nobody owns the whole. The loops, a missing part, a failed check, a changed date, are where the process is really decided.

2

The manual and the plant drift apart

The quality manual describes the intended process at the last audit. The shift lead knows the actual one, including the workaround for the printer in the warehouse. The gap is invisible until a customer or an auditor asks.

3

The frameworks expect records

ISO 9001, the German Supply Chain Due Diligence Act and the EU AI Act, described in general terms, expect a process approach with documented information, traceability where required, supplier due diligence and, for certain AI uses, human oversight and logging.

4

AI agents need lanes and limits

An agent can confirm availability, draft a production order or chase a missing certificate inside a visible process; it cannot give the quality release or the supplier approval. The guardrails are a lane, a control step and a person who decides.

Contents

What the report covers

The full report has five chapters. It opens with the processes as they typically run, with lane sketches, moves to where the knowledge about them gets lost, then describes the regulatory context as general orientation on public frameworks, not as legal advice. The fourth chapter is about AI agents and their guardrails, and the last one about the first step.

Who it is forPlant and operations managers, heads of quality, supply chain and procurement, process owners, and the person who has been asked to bring the quality manual in line with what the plant actually does.
What you getA print-ready document with lane sketches, fictional example processes and a checklist for the first capture.
What it is notNot a legal commentary and not a product manual. Where a framework is mentioned, the report describes what it generally expects and why that makes process transparency a prerequisite.

Contents of the full report

1

Typical core processes

order-to-delivery, supplier onboarding, production planning, complaints

2

Where process knowledge gets lost

quality manual, heads, systems; hand-overs; exceptions

3

Regulatory and audit context

ISO 9001, the Supply Chain Due Diligence Act (LkSG), the EU AI Act, in general terms

4

Where AI agents can help, and the guardrails they need

5

How to start

one process, captured from the people who run it; the patchley Pilot

The picture

Three places where a process lives

The report's second chapter compares the quality manual, people's heads and a BPMN model as places where process knowledge lives. The table below is the short version; the diagram is one of the fictional example models used in the report.

In the quality manualIn people's headsIn a BPMN model
What it describesThe intended process at the last audit.The actual process, including the loops and workarounds, as each department sees its part.The agreed actual process with one lane per department, systems, documents and the releases as control steps.
Who can read itAnyone, but few do.Only the person, and only when asked.People and software: a diagram for the team, a structure for the AI.
What happens at a changeNothing, until the next revision.The routine changes quietly.The change is shown, decided and versioned.
What an auditor seesA document that may not match the plant.A walk through the plant and an interview.Control steps with owner and record, per step.
CustomerSalesProductionLogisticsyesnoOrder placedCheck orderERP×In stock?Reserve stockERPScheduleproductionERPProduce orderMESCONTROLQuality releaseQMSPick and packWMSShip orderCARRIER PORTALGoods received
Fictional example model: a customer order from order entry to the delivered goods, with a stock decision, production and a quality release before shipping. BPMN 2.0, four lanes, one gateway, one control step.

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