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Use case

AI internal assistant for company documentation

We build internal assistants that let your team search documents, manuals, procedures and knowledge bases in plain language, so people find answers without wasting time digging through folders.

  • Search internal documentation by asking questions in plain language.
  • Get summarised answers with sources and context.
  • Reduce repeated questions, manual searching and reliance on key people.
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  1. Manuals

    Quick access to internal documentation

  2. Procedures

    Step-by-step answers for the team

  3. Policies

    Internal rules that are easier to find

  4. Onboarding

    Help for new joiners

  5. Internal support

    Fewer repeated questions to the team

What it solves

Internal information usually exists, but it is not always easy to find

In many companies documentation is spread across Drive, SharePoint, PDFs, wikis, emails or internal folders. The problem is not just having documents, but finding the right answer when you need it.

  • More useful internal search

    The team can ask normal questions and get a summarised answer, instead of searching for keywords across several documents.

  • Answers with context

    The assistant can consult manuals, policies, procedures or FAQs and build an answer suited to the question.

  • Control and security

    We design the assistant to be useful but also careful: with visible sources, clear limits and review when needed.

Examples

Where a documentation assistant can add value

This use case works especially well when there is a lot of internal documentation, recurring questions or information that only a few people know.

  • Look up internal procedures

    The team can ask how to do a task, which steps to follow or which rule applies in each case, without having to locate the exact document.

  • Internal onboarding

    Helps new joiners understand tools, processes, policies and common questions from day one.

  • Internal support

    Reduces repeated questions about procedures, tools, documentation or ways of working.

  • Less reliance on key people

    When information sits with a few people, work slows down. An assistant lets more of the team find consistent answers.

The assistant does not replace the team's judgement: it helps people find information faster and makes review easier.

Method

First we organise the knowledge. Then we build the assistant.

A good internal assistant does not start with the chatbot, but with defining which information it should consult, which questions it should answer and when it should ask for human review.

  1. Choose the documentation

    We review the manuals, procedures, policies, FAQs or knowledge bases the assistant should be able to consult.

  2. Build a pilot

    We build a first version with a limited set of documents, frequently asked questions and visible sources.

  3. Test and fine-tune

    We review answers, limits, documents used and the cases where it is best to hand over to a person.

Is your team losing time looking for internal information?

Tell us where your documentation lives and which questions come up most often. We will help you decide whether it makes sense to build an AI internal assistant, starting with a small pilot.

Request an AI assessment