Why Quality Documentation Slows the Additive Manufacturing Workflow

Why AM Quality Documentation Takes So Long

Consider a fairly ordinary production scenario. An additive manufacturing build finishes successfully on Wednesday afternoon. The parts are out of the machine, post-processing is underway and, physically at least, production looks almost complete.

But the parts cannot be released yet.

Quality still needs to confirm the correct design revision, material certificate and powder history. It needs the build record, machine data, operator sign-offs, post-processing records and inspection results. If anything changed along the way, it also needs evidence showing what changed, why and who approved it.

None of that information is necessarily missing. It may simply be scattered across the PLM, machine software, quality system, spreadsheets, shared drives, supplier portals and a few email inboxes.

That is where a surprising amount of time disappears.

The problem with AM quality documentation is often not creating the data. It is turning data that already exists into a complete, trustworthy record of what happened.

Why Does AM Quality Documentation Take So Long?

Additive manufacturing creates an unusually interconnected production record.

A conventional quality record might already need drawings, material certificates, process records and inspection results. AM adds another layer of digital information around the build itself: design revisions, build preparation, machine parameters, material genealogy and potentially large quantities of monitoring data.

The volume of quality data is also increasing. ISO/ASTM 52953:2025, for example, defines requirements for registering process-monitoring and quality-control data for laser-based metal powder bed fusion, including data from technologies such as XCT, thermal sensors, cameras and CMMs.

That does not mean every AM part needs every possible data point. It does mean that, in controlled production, the evidence behind a part can come from a lot of places.

And each piece needs context.

The Problem Isn't Always Missing Data — It's Finding the Right Data

Consider a metal aerospace component.

The approved geometry may be controlled in PLM. Build preparation sits in specialist software. The printer has its own logs. Powder information lives in a material-management spreadsheet. Heat treatment happens at an external supplier. CMM results live in the quality system. Someone approved a minor deviation by email.

At the end of the job, quality has to reconstruct a coherent record from all of them.

This distinction matters because manufacturers sometimes approach the problem by asking, "What additional data do we need to collect?"

Often the better question is:

How quickly can we retrieve the evidence we already collect and prove that it belongs to this part?

Adding another form or spreadsheet might actually make the problem worse.

The wider Authentise guide, Data, Software and Workflow in Additive Manufacturing: A Practical Guide, explores why disconnected systems become increasingly difficult to manage as AM moves into production. Quality documentation is one of the clearest examples of that problem in practice.

Every Record Has to Match the Right Part, Build and Revision

Finding a certificate is only useful if you know it is the right certificate.

Suppose one powder-bed fusion build contains twelve components. Quality needs to establish which powder lot went into that build, which approved parameter set was used, which design revision corresponds to each part and which inspections relate to which serial numbers.

Then imagine that one component is subsequently machined, another undergoes CT inspection and all twelve receive heat treatment under a supplier's internal job reference.

The information exists. The relationships between it are the difficult bit.

This is why traceability matters so much in production AM. A useful manufacturing record needs to connect the finished part back to the conditions under which it was made: the approved design and parameters, material lot, machine, production activity and inspection results.

If those connections are created as production happens, retrieving the history can be straightforward.

If they are not, somebody has to rebuild them later.

Usually, that somebody is quality.

Quality Teams Spend Too Much Time Reconstructing What Already Happened

There is an important difference between quality work and quality administration.

Reviewing an unexpected CT result is quality work. Assessing whether a deviation is acceptable is quality work. Deciding whether a component can be released is quality work.

Searching an inbox for a certificate is not.

Neither is copying a machine serial number into another system, comparing filenames to find the approved revision, asking engineering who authorised a change or manually renaming inspection reports so another person can work out which part they belong to.

Yet those small administrative tasks accumulate.

One five-minute search does not look like a manufacturing bottleneck. Repeat it across materials, builds, inspections, approvals and parts, then multiply it across every job, and the cost becomes much easier to see.

This is one reason Why Your Additive Manufacturing Data Isn't Audit-Ready (Even If You Think It Is) is an important related issue. Having the records and being able to reconstruct a reliable manufacturing history are not the same thing.

External Testing and Post-Processing Create Documentation Blind Spots

The problem becomes harder whenever a part leaves the immediate AM workflow.

Heat treatment, HIP, machining, surface finishing, CT scanning, tensile testing and other operations may take place in different departments or external organisations. Each may use its own identifiers and software.

Imagine sending a build for heat treatment as order AM-1847. The supplier returns certificate HT-60731.

To a human who knows the project, the relationship may be obvious. To the manufacturing record, it may not exist at all unless somebody creates it.

The same happens when an external laboratory emails a PDF containing inspection results. The result itself may be perfectly valid, but quality still needs to associate it with the correct component, revision and production history.

This is exactly the sort of apparently minor hand-off that makes documentation surprisingly labour-intensive.

The lesson is not that external suppliers are the problem. It is that traceability should cross organisational boundaries rather than stopping at them.

More Quality Data Can Actually Make the Problem Worse

Modern AM systems can produce extraordinary quantities of data.

That is useful — but volume and usefulness are not the same thing.

ISO/ASTM 52953 reflects the increasing importance of registering and appropriately storing multi-modal process-monitoring and quality-control data.  But capturing more information does not automatically make a manufacturing record easier to use.

If a machine generates thousands of files but they are not associated with the relevant build, parameter set, material, inspection and approval history, quality has gained more data but not necessarily more evidence.

This is the same problem manufacturers encounter elsewhere in digital transformation: collecting information is relatively easy. Maintaining its context is harder.

A useful quality record should answer more than what does this file contain?

It should also answer:

Which part does this belong to, under which revision, from which process step, produced under which conditions, and what happened next?

That is what turns isolated data into traceability.

Which Parts of Quality Documentation Should Stay Human?

There is an understandable temptation to hear "documentation takes too long" and immediately reach for automation.

That needs some care.

Quality professionals make decisions precisely because manufacturing does not always behave predictably. A system can capture a deviation automatically. It should not necessarily decide whether that deviation is acceptable.

The same applies to an unusual inspection result. Software can route it, present the relevant manufacturing history and alert the right person. Interpretation may still require engineering or quality expertise.

The sensible goal is therefore not to automate quality.

It is to automate the clerical work surrounding quality.

Let systems capture identifiers, link records, preserve revisions, record approvals and retrieve evidence. Let qualified people concentrate on the decisions that actually require judgement.

That separation is important. Good workflow automation should give quality teams more time to do quality work, not try to remove them from the process.

How to Reduce Documentation Time Without Weakening Quality Control

The biggest improvement often comes from changing when documentation happens.

Many manual systems effectively manufacture first and document afterwards. Production teams complete tasks in one system, operators record information somewhere else, suppliers send certificates later and quality assembles the final record at the end.

That makes documentation a separate project.

A stronger additive manufacturing workflow defines the evidence requirements as part of the production process itself.

When material is allocated, record the lot against the job. When the build begins, associate the machine and approved parameter set automatically. When an operator completes a controlled step, preserve that event. When an inspection occurs, attach its result to the relevant part. When somebody approves a deviation, capture the approval where the deviation lives.

None of those actions removes a quality control.

They remove the need to recreate the evidence later.

For manufacturers still relying heavily on disconnected systems, The Hidden Cost of AM Silos: Why Integration Is Everything provides useful wider context on why manual transfers and fragmented reporting continue to create delays.

Create the Quality Record During Production, Not Afterwards

This is the central principle.

A good quality record should emerge from the manufacturing workflow.

Not from somebody spending Friday afternoon assembling one.

Take the earlier aerospace example. Instead of quality receiving twelve parts and beginning a hunt for supporting evidence, the production record could already know the approved design revision, material genealogy, machine and build ID, processing route, operator activity and inspection requirements.

The heat-treatment certificate still needs to arrive. The CT result still needs review. A deviation may still require human approval.

But each new piece of evidence joins an existing manufacturing history rather than starting another reconstruction exercise.

This is where workflow automation becomes useful. How to Automate Additive Manufacturing Workflows goes further into the wider opportunities for removing repeated manual actions across AM production.

The principle is simple: documentation should follow the part.

What a Better AM Documentation Workflow Looks Like

No single software platform has to own every piece of manufacturing information.

PLM may remain responsible for design governance. A QMS may own formal quality processes. Machines will continue generating their own production data. ERP will have its own role.

The important thing is that the manufacturing workflow can maintain the relationships between them.

Authentise Flows, for example, is designed to coordinate production activities and capture manufacturing information as work progresses. That allows material, machine, workflow and quality events to form part of the production history rather than requiring manual reconstruction afterwards.

Where the missing evidence is less about a machine reading and more about why something happened, Authentise Threads can preserve decisions, approvals, discussions and supporting documents alongside the relevant work.

Neither removes the need for a quality system or experienced quality professionals.

The value is simpler: when quality needs evidence, they spend less time hunting for it.

And that is the real opportunity.

AM quality documentation will never disappear, nor should it. In regulated and safety-critical manufacturing, proving how a component was made matters enormously.

But there is no quality benefit in making skilled people manually reconstruct information that the manufacturing process already generated.

The goal is not less evidence.

It is less effort turning evidence into a trustworthy manufacturing record.

If your team is spending too much time chasing build records, certificates, inspection data and approvals, explore how Authentise Flows can capture and connect that information as part of the additive manufacturing workflow — rather than rebuilding the story at the end.