CE Marking Technical File Checklist: Draft the Outline With AI

Yes, AI can draft the outline of a CE marking technical file from your product specification and a list of standards, in an hour or two. It cannot decide which rules apply, confirm a standard is current, run tests or sign anything. A competent person must verify every legal reference, test result and claim before it enters the file.

The useful split is simple. AI does the sorting and the first wording: it turns a pile of drawings, datasheets and emails into a numbered contents list with gaps marked. You, or someone with real knowledge of your product's safety, own the content of every section. If you remember one rule from this page, make it this: anything a regulator could check against an official source gets checked against that source, never against the AI's memory.

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What the file has to be able to show

The European Commission's page for manufacturers sets out six steps: identify the applicable directives or regulations and harmonised standards, verify product-specific requirements, decide whether an independent notified body must be involved, test the product, draw up the technical documentation and the declaration of conformity, then affix the mark. The manufacturer carries the responsibility for all of it. The documentation has to let an authority assess whether the product meets the legislation, and the manufacturer or an authorised representative must keep copies for the period the relevant legislation specifies.

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So the file is not a certificate. It is the evidence folder behind the mark. Most small makers who use the standard self-declaration route build it themselves, which is why the order and completeness of that folder matter more than polish. If your product falls into a higher-risk category that needs a notified body, the body will tell you what it wants to see, and the outline below still helps you prepare for it.

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If you only sell online and do not make the goods, your duties are different and sit closer to importer or distributor obligations. The GPSR checklist for online sellers covers that side, and this page assumes you are the manufacturer, meaning your name or brand is on the product.

The main example: a plug-in garden light from a four-person firm

Everything below is illustrative. Say a four-person firm designs a mains-powered LED garden light with a plug-in power supply and a small control board, builds it with a contract assembler and sells it online across several markets. The founder has a specification sheet, a bill of materials of 68 lines, supplier datasheets, two test reports on the power supply from the supplier, photographs, a draft manual and a packaging mock-up. There is no technical file yet.

The founder's first guess at the applicable rules is a low voltage rule, an electromagnetic compatibility rule and a restriction on hazardous substances in electronics. That list came from an AI assistant. It is a sensible starting point and exactly the kind of answer that must not go in the file unchecked. The founder opens the list of CE marking legislation linked from the Commission's page for manufacturers, and notices that the control board has a wireless remote. That brings in the radio equipment directive, which the AI had not raised, and it changes the shape of the list rather than just lengthening it: the directive's text says radio equipment in its scope is not subject to the low voltage directive (its safety objectives are applied through the radio rules, with no voltage limit) and that the electromagnetic compatibility directive should not apply to radio equipment either. So the file now cites the radio equipment directive for safety, EMC and radio use, plus the hazardous-substances rule. One check, a restructured list, and the first lesson of the exercise: the AI's list is a hypothesis to test.

The timing in this illustration: about 90 minutes with an AI assistant to produce a draft outline and a gap list; about half a day to verify the legal references and fill the gaps that were quick; several weeks, driven mostly by the lab's calendar, to close the gaps that need testing. The AI shortens the first step and nothing else.

Step 1: feed it the product, not the law

Give the AI a plain-language product description and your own documents, and ask for a structure. Do not ask it to tell you the law. Use a business-plan account if your designs, supplier prices or test reports are confidential: both ChatGPT Business and Claude Team state on their pricing pages that they do not train on your business content by default. On personal accounts the choice sits in a setting you control, and on ChatGPT's personal plans the "Improve the model for everyone" setting is on until you turn it off.

Strip out what the outline does not need, such as unit costs and customer names, before you paste anything. The AI needs the product's function, ratings, parts, interfaces and intended users, not your margins.

You are helping a small manufacturer draft the CONTENTS LIST of a technical file for CE marking. Do not state which laws apply as fact; propose candidates and label each "to verify".

Product: mains-powered LED garden light, plug-in power supply, control board with a wireless remote, outdoor use, sold to consumers.
Documents I hold: specification sheet, bill of materials (68 lines), supplier datasheets, two supplier test reports for the power supply, photos, draft manual, packaging mock-up.

Produce:
1. A numbered contents list for the technical file (sections and the documents that belong in each).
2. For each section, mark each document I hold as HAVE, PARTIAL or MISSING.
3. A list of candidate legislation and standards, each labelled "to verify against the official source", with the reason you suggest it.
4. A list of questions you need answered before the outline is reliable.

A realistic reply gives you a contents list with perhaps ten to twelve sections, a column of HAVE / PARTIAL / MISSING marks, and a candidate list. Illustratively, for our garden light it might return 11 sections, mark 4 documents as held, 7 partial and 14 missing, and propose six standards. Three of those six standards will carry edition years. Treat those years as the least reliable part of the answer, and see the verification pass below.

The checklist: sections of the outline and who verifies what

The table is the heart of this tutorial. The left column is a typical section order; the right column says what the AI may draft and what a person must check. Real legislation specifies its own required contents, so use your own list from the applicable rules in place of mine where they differ.

Notice what the right-hand column has in common. Each item is either a comparison to an official source or a judgement about the real product. AI is poor at both for the same reason: it has no access to your factory floor and can state a clause number confidently when it has the wrong edition.

Step 2: the verification pass, item by item

After the draft comes the work that a person has to do. Do it in this order, because each step narrows the next.

1. Legislation. Take the AI's candidate list to the Commission's page listing legislation that provides for CE marking. Tick each item that really applies, strike each that does not, and add any the AI missed. Read the scope clause of each, since a rule may exclude your product category.
2. Standards. For each rule, open the Commission's page on harmonised standards and the list of references it links to. Find the current reference for each standard the AI proposed. Write down the exact title and edition, and note whether the reference has been replaced by a newer one. A standard that was current two years ago may not be today.
3. Presumption of conformity. Applying a harmonised standard gives a presumption of conformity for the requirements it covers, but only for those. Mark which requirements each standard covers and which it leaves open, so the risk assessment can deal with the leftovers.
4. Notified body question. Check whether your product's category requires an independent body. If you are unsure, the Commission's page points to NANDO, its database of notified bodies searchable by legislation, and a short call to one is cheaper than a wrong assumption.
5. Evidence. Open every test report in the folder. Confirm the report is for the same product, rating and revision as the one you sell, within the lab's stated scope, and that the standard it tested to matches your list.
6. Instructions and markings. Compare the draft manual and label with the requirements text, then with a physical sample.
7. Declaration. Read the declaration aloud with the signatory. Names, addresses, product identifiers and every legal reference must be exactly right.

In the garden light example the verification pass took the founder about four hours across two sittings. It turned up two corrections that the AI got wrong with great confidence: one standard whose reference had been superseded by a later edition, and one that applied to the control board's wireless module and which the AI had attached to the wrong section. Neither would have been visible without opening the official lists.

Where the AI-drafted outline goes wrong

These are the patterns that show up repeatedly when people let a chat assistant draft compliance documents. Watch for them in your own draft.

• The invented clause. The AI cites "clause 8.3" of a standard to support a statement. You cannot check that without the licensed text, so treat any clause number as unverified until you have read it.
• The stale edition. It names a standard with a year that was right when its training ended. Replace the year with what the official list shows.
• The tidy but wrong scope. It treats your product as one category when it spans two, such as a lamp with a radio remote. The fix is a person who knows how the product behaves.
• The reassuring risk assessment. An AI will list hazards plausibly, then stop. A real assessment is tied to your design and to what you did about each hazard. Use the AI's list as prompts, not as the assessment.
• The test report that is not yours. Supplier reports on a component do not prove your finished product. The AI cannot tell the difference unless you ask it to compare the model numbers and ratings.

A second example: a sports club's merchandise range

Not every outline starts from a clean electronics product. Say a sports club sells branded children's lunch boxes with a built-in electric warmer, made for it by a supplier. The club's first instinct is that the supplier handles compliance. Asked to outline the file, the AI correctly points out that whoever puts their name on the product is treated as the manufacturer for most purposes, so the club needs the supplier's technical documentation or its own. That prompts a more useful follow-up question to the supplier, and the club's outline turns into a document request list rather than a self-built file. The AI's contribution is the checklist; the supplier's reply is the evidence.

Prompts that help, and one that does not

Three prompts are worth saving once your outline exists.

Gap finder. Paste your outline and list of documents, and ask which sections have no document, which have only a supplier document, and which rest on a standard you have not listed. Ask it to return a table you can drop into a spreadsheet.

Here is my technical file outline and the list of documents I hold. Return a table with columns: Section, Document held, Issue (missing / supplier-only / unverified standard / out of date), Who can resolve it (me / supplier / test lab / adviser), and the question I should ask them.

Supplier request writer. For each missing supplier document, ask the AI to draft a short, polite request that names the part, the document needed (for example a declaration on restricted substances) and the date you need it by. Send these under your own name after reading them.

Plain-language checker. Paste your draft instructions and ask it to list any sentence an ordinary buyer could misread, and any hazard from your risk assessment that the instructions do not mention. This is a good use of AI because it checks consistency between your own documents, not facts about the law.

The prompt that does not help is "Is my product compliant?" The AI cannot know. It will give a fluent yes or no that feels like an answer and is not one.

Three smaller cases that change the outline

A catering company's retail sauce, which is not a CE product

Say a catering company starts selling a branded warming device alongside its sauces. The device may need a file, the sauces do not, because food has its own rules and no CE mark. An AI asked to outline "the file for our product range" will happily mix the two. Splitting the list by product, and checking each against the Commission's rule that the mark may not be affixed to products outside the scope of the relevant legislation, keeps the file honest.

A coworking space buying equipment for resale

A coworking space adds branded phone-charging lockers sourced from an overseas factory and sold to other spaces. If its name is on the product, it is the manufacturer in the legal sense, and the factory's file helps but does not replace the space's responsibility. The outline becomes mostly a supplier-evidence tracker. The verification pass has an extra line: does the factory's report cover the exact model with the exact power supply that is shipped?

An event venue with a custom-built lighting rig

A venue that builds a bespoke lighting rig for its own use has a different position from one selling it on. In-house equipment may fall under workplace safety rules rather than the product rules for CE marking. The AI will not draw that line reliably. A short call to a qualified adviser decides whether you need a file at all, and that is a better use of an hour than drafting one you may not need.

Where UKCA fits

If you also sell in Great Britain, the UK government's guidance explains that the UKCA marking and the CE marking sit side by side for many products: the UK continues to recognise CE marking alongside or in place of UKCA under product safety amendments made in 2024, giving businesses a choice of process, while some sectors have their own rules outside both regimes. The same guidance says the technical file should be kept for typically 10 years from when each product is placed on that market, and that a product can carry both marks.

For the technical file this means two things. First, much of your work is reusable: product description, risk assessment, test reports and instructions all carry over. Second, the legal references, designated standards and the declaration wording differ, so ask the AI to produce a second column of "UK equivalent to verify" in your gap table and then check each against the official guidance. Do not let it silently swap one set of references for the other.

A review rhythm that keeps the file alive

A technical file is not finished at the first shipment. Every change to the design, a component swap, a new supplier or a new edition of a standard can make part of it wrong. Build a simple rhythm.

• Change trigger. Any bill-of-materials change, firmware version or supplier change creates a line in the change log, with a date and the section it touches.
• Quarterly scan. Once a quarter, read the official standards list for the references on your list and note anything replaced. An AI can compare two versions of your own list and summarise the differences, but the source is the official page.
• Annual read-through. Once a year, someone who did not write the file reads the declaration against the current product and instructions.

The change log is the part AI handles well. Paste the old and new bill of materials and ask for a table of added, removed and altered lines, with the file sections each might affect. A person then decides whether any change needs retesting. In the garden light example, a 12-line change to the bill of materials (a capacitor from a different supplier and a new connector) produced three flagged sections, one of which needed a new supplier declaration and none a new test.

What a competent person is, in practice

The phrase sounds grander than it is. For a simple product it may be the founder who understands the design well and has read the legislation text, backed by a test lab's reports. For a harder one it is an engineer or a compliance consultant. What matters is that the person can answer "why is this requirement met?" for each item without reading the AI's draft back to you. If nobody on the team can, hire the knowledge before you ship, then use AI for the paperwork.

Ask three questions before you hand the file to someone for sign-off. Can they identify the harmonised standards for the product from the official list? Can they explain each test report's scope? Can they say what in the design addresses each hazard in the risk assessment? A yes to all three is a competent reviewer for this purpose. A hesitation on any one tells you what to fix.

How to tell the process worked

You do not know a file is good by how it reads. You know by how it behaves when someone asks a question.

• The five-minute test. Pick a requirement at random from the legislation. Can you find, in under five minutes, the standard, the test report and the design feature that address it?
• The sample test. Take a production unit off the line. Does it match the drawings, label and manual in the file?
• The source trail. For every legal reference, can you point to the official page where you confirmed it, with the date?
• The signatory read. Has the person signing read the declaration and the summary of tests, and can they say what the product is?

If those four hold, the AI saved you time without cutting a corner. If one fails, the draft was a convincing wrapper around a gap, which is the exact failure this checklist is designed to expose. For other documentation jobs where drafting is easy and verification is the real work, the ISO 9001 documentation comparison follows the same split, and the small-manufacturer quality control tutorial shows where AI helps on the production side.

Cost and time, as honest ranges

Lab and notified body prices are not listed here because they vary by product and lab, and I would rather tell you what to ask than guess. The AI subscription part is small: as of November 2026 a Standard seat on ChatGPT Business or Claude Team lists at $20 a month billed annually or $25 billed monthly, and both plans normally start at two seats (OpenAI lets some new Business workspaces start with one). The real costs are test lab fees, notified body fees where they apply, your own hours and any adviser time. Ask each lab for a written quote that lists the standards tested, the number of samples, and what happens if a sample fails. Use the AI to compare quotes line by line, and to turn their jargon into a summary, but not to set a budget.

If you would rather map your own documents with someone and decide which pieces are safe to hand to AI, that is what my AI implementation consultation covers. The outline and the verification table above work without it.

Questions makers ask before they trust an AI-drafted file

Can I paste a harmonised standard into an AI tool?

Usually not. Standards are copyrighted, paid documents, and some publishers' terms forbid using AI on them. Give the AI the standard's number and title instead, ask it which clauses a file of your kind normally addresses, then read the licensed copy yourself.

Does AI know which directives apply to my product?

It can suggest candidates, such as low voltage, electromagnetic compatibility or radio equipment rules, but it can miss one or name a repealed one. Confirm the list against the Commission's published list of CE marking legislation before you rely on it.

Who signs the declaration of conformity?

A person with authority to bind the manufacturer signs it, and the manufacturer takes sole responsibility for it. An AI tool, a consultant or a test lab cannot sign it for you in that sense, so the final wording must be read and owned by the signatory.

Is a UKCA technical file the same as a CE one?

The content is very similar, because many UK requirements derive from the EU ones, and the UK continues to recognise CE marking alongside UKCA for many products sold in Great Britain. Check the official sector guidance for your product type, because the route and the marking rules differ by sector.

How long must the technical file be kept?

It depends on the legislation on your list, so read each retention clause. The radio equipment directive, for example, sets 10 years after the product is placed on the market, and the UK guidance says typically 10 years. Keep the file where the person responsible can produce it promptly if an authority asks.

Further reads

• Calibration Log Template: AI Tracks Due Dates for Gauges and Scales — Keep the test gear behind your evidence in calibration.
• Preventive Maintenance Schedule Template: AI Builds It From Manuals — Another manuals-to-schedule job where AI drafts and a person checks.
• Supplier Scorecard Template: Score Delivery and Quality With AI — Your supplier evidence feeds the component list in the file.
• Where Should a Small Manufacturer Start With AI? — Where a small manufacturer should start with AI beyond paperwork.
• AI Packaging Design: From Concept to Print-Ready Artwork — Labels and packaging carry the marks and warnings the file describes.
• AI for Cosmetic Formulation: What It Can Draft and a Chemist Must Check — The same draft-then-expert-check pattern in another regulated product.
• Candle Warning Labels: An AI Draft and a Pre-Print Checklist — A pre-print checklist for AI-drafted candle warning labels: rules by market, fragrance allergens, wording, durability and sign-off.
• AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.

Sources: European Commission single market pages on CE marking, CE marking for manufacturers and harmonised standards; the radio equipment directive text (2014/53/EU) on EUR-Lex; UK government guidance on using the UKCA marking (updated August 2026); OpenAI and Anthropic business pricing and privacy pages (all checked 5 November 2026).