Blog · Published · Updated
AI training for technical documentation teams
Short answer
AI training for a technical documentation team teaches you to plan a text before writing, ask the expert specific questions and update the documentation after a new product version. The key exercise is catching a draft that leaves out the role and the product version. At Syntalith team training costs from €1,150 net a day. With 5 people each saving 2 hours a week, it pays back in 0.8 months after licence costs.
- net per day of closed training for the team
- from €1,150
- people in one training group
- up to 15
- after this time, we measure the effect on the same tasks
- 30 days
We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓
Author: Syntalith · 3 min read
Statistics
Documentation and AI: statistics 2026
0.8 mo.
payback of a €1,150 training at 5 people saving 2 hours a week each: €1,511 of time regained, €89 of licences a month. Scenario.
40%
According to a study published in Science (2023), ChatGPT cut the time 453 professionals spent on writing tasks by 40%.
Source: Noy and Zhang, Science (2023) ↗
25.1%
According to a Harvard Business School study (2023) of 758 consultants, tasks within the model's capabilities were done 25.1% faster with AI.
15.1%
According to Eurostat (2025), 15.1% of people aged 16 to 74 in the EU used generative AI tools for work.
48%
According to the European Commission (2026), 48% of EU SMEs and mid-caps name a lack of expertise as a barrier to AI.
Source: European Commission, Flash Eurobarometer 578 (2026) ↗
Figures checked: 22 October 2026
An export only for administrators in version 4
The product note says: in version 4, administrators can export the change history as CSV. The draft prepared with AI invites every reader to export and leaves out the role and the version. A useful correction reads:
In version 4, administrators can export the change history to a CSV file.
The condition appears at once, so the user can tell whether the description applies to them. When the note only mentions exporting data, the author asks the expert who can do it and from which version, and puts the answer where the reader needs it. The expert gets a specific text to check in place of a request to describe the feature from the beginning.
The solo task changes the condition: in version 5, ordinary users get a PDF export. The author settles the content of the sentence, the reader and the version again.
- 01Planthe reader and the question the text answers
- 02Questionsrole, version and steps, put to the expert
- 03Draftan AI text checked for its conditions
- 04Wordingnames that match the product and the neighbouring texts
- 05Updatethe documentation changed after a new version
- The role and product version at the start of the description
- Feature names that match the interface
- Steps in the order they happen in the product
- Questions for the expert beside the place they concern
What it costs and when it pays back
- Time saved
- 5 people × 2 h a week × 4.33 = 43.3 h
- Value of that time
- €1,511
- Licences
- $100 (€89)
- Left after licences
- €1,422 a month
Payback of a €1,150 training
0.8 months
The hours saved are the scenario's assumption, which we check by timing the tasks before the training and after 30 days. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Claude Team licences at $20 per person a month, at the ECB rate of 1.1205 USD per euro on 22 October 2026.
We measure the hours in the scenario before the training and after 30 days, on the same team tasks. If after a month checking AI texts takes as long as writing from scratch, we change the exercises or the scope of the tool.
According to a study in Science (2023), ChatGPT cut the time 453 professionals spent on writing tasks by 40%. In documentation we also count how many texts come back from the expert with a question about the role or the version.
Your editor may already have AI features
The AI Positron documentation for Oxygen Content Fusion describes rewriting text, improving readability, reviewing and comparing suggestions before they are applied. It needs the Author role and an installed, configured plugin. If the company provides these features, we practise in your current editor. For repeated descriptions, a better template with a place for the reader and the product version is enough. Choosing a local environment for writing descriptions is covered in the article on a local model for technical descriptions.
Repeated feature descriptions
a template with a field for the reader and the version
no build
Texts come back from the expert with questions
training on editing with AI
from €1,150 a day
Documentation may not leave the company
a local model for descriptions
from €3,000
Where to start
We set the programme on a text that came back from the expert or the editor several times. Authors work on their own drafts, and the product expert joins the discussion of chosen passages. We run the workshop as part of team training. For the free analysis, a description of one task the team does every week and of the tools it uses is enough. You get the written training programme within 2 working days.
Worked example · Scenario
How we count the payback: a documentation team
We run the same count for your team in the free analysis.
€2,327
a month for matching 1,000 documents to cases by hand
Payback: 1.5 mo.
4 minutes per document matched to a case and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: reading a document in our case-file system (about €0.0002) plus matching it to the case and a note on what is missing (Claude Sonnet 5.5, about 2,000 + 300 tokens), at the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →
