AI suitability assessment for technical writing

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AI assessment

Is your data basis ready for AI? Clarity in 4 to 6 weeks

Before any tool selection: a solid go/no-go recommendation with reasoning. Instead of just trying something with AI, a concrete use case with measurable benefit.

Duration4 to 6 weeks
Investmentfrom EUR 3,900
FormatWorkshops + data analysis
Suitable forMachinery, medical technology, software

Book initial consultation


Who needs this?

Documentation managers who are under internal pressure to introduce AI but do not yet know whether the data basis and processes can support it. Also useful for managing directors who want to approve an AI project but need an external suitability check as a basis for the decision.


How we proceed

  1. Data-basis analysis (weeks 1–2)An assessment of your content in terms of consistency, terminology maintenance and modularity. Samples from real documents, not from demo data sets.
  2. Process-maturity analysis (week 3)Review routines, approval workflows, quality standards. Clarifying whether AI outputs can be integrated into your existing processes or whether the processes need to be adapted first.
  3. Use-case identification (week 4)Two to three concrete use cases with effort, benefit and a compliance assessment. A provider shortlist with five mandatory questions per provider.
  4. Pilot plan and recommendation (weeks 5–6)A solid go/no-go recommendation with reasoning. If it is a go: a concrete pilot plan for the first 3 months.

What you hold in your hand at the end

Data-basis ratingA clear placement of the current maturity (consistency, terminology, modularity).
Use-case list2–3 concrete use cases with effort, benefit and a compliance note.
Provider shortlistSuitable AI tools with five mandatory questions per provider (GDPR, trade secrets, hosting, training data, end of contract).
Go/no-go recommendationWith reasoning. If it is a no-go: the concrete preliminary work that is needed first.

Frequently asked questions

What if the assessment results in a no-go?

Then that is the honest answer, and it is more valuable than a go on a shaky basis. We name the concrete preliminary work that is needed first (typically terminology maintenance, modularisation) and deliver a plan for it.

Which AI tools are reviewed?

Depending on the use case: GPT-based tools, DeepL Pro, the Claude API, self-hosted LLMs (Llama, Mistral) or specialised tools such as SDL Trados Copilot. Selection against your compliance requirements.

What distinguishes the assessment from a tool demo?

A demo shows what the provider wants to show. The assessment checks whether the tool works with your real data and whether your processes can carry the outputs.

Do we need the assessment first?

Not necessarily. But if you do not yet have a systematic content inventory, the assessment makes sense as a precursor. Otherwise we work with samples and honestly communicated uncertainty.

Initial consultation — one hour, free of charge

In 60 minutes we clarify your specific situation. At the end you receive a written assessment of one A4 page that you can use to move forward internally.