Corporate Communications

Governance for a global communications function

A practical governance model for a communications team that needed to move from scattered AI experiments to accountable operating rules.

The brief

The team was already experimenting with generative AI across content drafting, research, and stakeholder monitoring. The issue was not awareness. It was control.

Leaders needed a clearer view of what should be allowed, where approval was required, and how AI work would be described internally.

What AI4comms would structure

The work would focus on governance close enough to day-to-day communications tasks that teams could still move quickly.

  • An AI use-case map across communications workflows
  • A risk register linked to actual team activities
  • Approval thresholds for high-sensitivity outputs
  • A draft usage policy that teams could apply immediately

Why it matters

Governance fails when it arrives as abstract policy after adoption is already messy. This kind of intervention gives leaders a disciplined operating view before risk compounds.