MAJLA

MAJLA

AI in institutional communications: where it helps and where it needs governance

A simple framework for using AI in content and analysis without compromising accuracy or confidentiality.

Published 15 October 20264 min read

AI can save real time in institutional communications, but its value depends on where it is used and the controls around it.

Where it usually helps

  • Summarising long documents and meeting minutes.
  • Proposing first drafts and headline variants.
  • Sorting news and comments and analysing general trends.
  • First-pass translation that is then reviewed by a person.

Where it needs care

  • Any factual claim or figure: it must be checked against a source.
  • Official materials and sensitive data: do not enter them into unapproved tools.
  • Content that represents the organisation’s position: do not publish without sign-off.

Suggested controls

  1. An approved list of permitted tools and their data terms.
  2. Mandatory human review before anything is published.
  3. A log of where AI was used.
  4. A clear disclosure policy where needed.

AI is an assistant in the work, not the party responsible for it; responsibility stays with the team that signs off the content.

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