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Module 03 · Knowledge assistants

AI assistants that answer from your manuals and policies

Your team asks in plain language and gets the answer with the exact reference in the document. If the information isn’t there, the assistant says so instead of making it up.

modulo://asistentes-de-conocimientoExample
In
Manuals, policies, wikis
Out
Answers with references
Access
Based on each person’s team
01 / What it solves

Answers in seconds, with the source in sight.

If the same questions keep landing on your supervisors, an assistant can answer them from your own documents.
  • Problem_01

    Questions that repeat

    The same questions reach supervisors and HR again and again.

  • Problem_02

    Scattered information

    Manuals, emails, folders and wikis with different versions of the same fact.

  • Problem_03

    Slow onboarding

    New people take weeks to learn where to look for things.

  • Problem_04

    Answers without a source

    Nobody can check where an answer came from or whether it is still current.

02 / How it works

Answers you can check.

  1. 01 · Sources

    We connect the documents you choose: manuals, policies, contracts, wikis.

  2. 02 · Organization

    They are split and indexed, keeping versions and permissions.

  3. 03 · Question

    People ask from the channel your team already uses.

  4. 04 · Answer

    The assistant answers only from what it finds and cites the section.

  5. 05 · Improvement

    Unanswered questions show which documents are missing or out of date.

! Exception

When it can’t find the answer in your documents, the assistant says so and suggests who to ask, instead of making something up.

03 / Scope

What it can look up.

We start with the documents that generate the most questions and add the rest with each team’s permissions.

  • Operations manuals
  • Internal policies
  • Quality procedures
  • Contracts and commercial terms
  • Product data sheets
  • Regulations and standards
  • Customer FAQs
  • Wikis and knowledge bases
  • + whatever your operation needs
04 / What you get

A solution in production, not an endless pilot.

  • An assistant in production in the channel your team already uses.
  • Connected sources, with citations and access by team.
  • A report of unanswered questions to improve your documents.
  • Code, models and documentation: 100% yours.
  • Deployed in your cloud or on private infrastructure.
  • Metrics agreed in the assessment and periodic reports.
05 / Use cases

Where it usually starts.

Illustrative scenarios. In every project we define up front what will be measured.
  • Example_01Human resources

    Questions about internal policies

    The team asks about vacation, travel expenses or benefits and gets the answer with the policy article.

    Measured →questions escalated to HR

  • Example_02Operations

    Procedures on the floor

    Supervisors look up the right procedure from their phone, without digging through folders.

    Measured →time to find a procedure

  • Example_03Sales

    Product information for sales

    The sales team checks data sheets, current prices and terms before quoting.

    Measured →quotes corrected for wrong data

Connects to what you already use

  • Company email
  • Shared folders
  • Wikis
  • Internal chat
  • SQL databases
  • Custom APIs
06 / Questions

About knowledge assistants.

We design it to answer only from what it finds in your documents and to cite the source; if it can’t find the information, it says so. We measure its accuracy with real questions before going to production.

No. The assistant respects permissions by team or role, so each person only gets answers from documents they are allowed to see.

Sources are refreshed periodically or when a new version is published, and answers cite the current version.

They don’t need to be. We choose services and settings in which your data is not used to train models, and we put it in writing in the operating policy.
Let’s start

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