AI Workforce · Knowledge

Knowledge AI

Knowledge AI is a worker that answers internal questions by retrieving and summarising information from your approved documents and knowledge base, pointing back to the source. It gives teams fast, grounded answers — and when the knowledge base is silent, it says so rather than guessing.

Adil MektoubAdil Mektoub

Published 13 July 2026Last reviewed 13 July 2026

Business responsibilities

  • Retrieving answers from approved internal documents.
  • Summarising relevant policies, procedures and materials.
  • Pointing to source documents for verification.
  • Surfacing gaps where the knowledge base is incomplete.

Supported systems and integrations

Subject to integration scope, connected through official APIs with scoped access:

  • Document and file storage
  • Internal wikis and knowledge bases
  • Intranet and collaboration tools

Actions it can perform

Key takeaways
  • Retrieve and summarise internal information.
  • Cite the source documents used.
  • Flag when an answer is not available.

Actions requiring human approval

These actions never run automatically — they wait for explicit human approval:

  • Publishing answers into official documentation.
  • Sharing sensitive internal information externally.

What Knowledge AI does not do

Limitations & honest caveats
  • It does not invent answers when sources are missing.
  • It does not expose documents a user is not permitted to see.
  • It does not replace authoritative sign-off on official content.

Data and knowledge requirements

  • A maintained, permissioned knowledge base.
  • Clear access rules per user or role.

Monitoring and auditability

  • Answers grounded in and linked to source documents.
  • Audit trail of queries and documents accessed.
  • Review of accuracy and knowledge-base coverage.

Relevant KPIs

Measured against KPIs defined before deployment — never against invented figures:

  • Information retrieval time
  • Answer grounding rate (with source)
  • Knowledge-base coverage
  • Repeat-question reduction

Risks and limitations

Limitations & honest caveats
  • Answer quality depends entirely on the knowledge base.
  • It reflects the documents it is given — not external truth.
  • Gaps in documentation produce gaps in answers.
FAQ

Frequently asked questions

Where do the answers come from?
From your approved internal documents and knowledge base, with links back to the source. It does not answer from outside that permitted material.
What if the answer is not documented?
It tells the user the information is not available rather than guessing, and can flag the gap for your team to fill.
Adil Mektoub

Author

Adil Mektoub

Founder · Engineering & AI Infrastructure

France-based AI platform engineer. Age 36. E-mobility AI background; SAP and Vitol.