The problem. A government department's approved policies, procedures, and guidance documents live across shared drives, an intranet, and years of PDF attachments to old emails. Staff spend hours searching for the right document, and when they cannot find it quickly, they ask a colleague instead — which spreads the same bottleneck around the office rather than solving it. Worse, when two versions of a policy exist, staff sometimes act on the outdated one, because nothing distinguishes "current" from "superseded" at the point of search.
The solution. A secure, internally-hosted AI assistant is built on top of the department's approved document library. It indexes only current, approved policy documents — nothing scraped from the open web, nothing unvetted — and answers staff questions in plain language, with a citation back to the specific document and section it drew from. Access controls mirror the department's existing permissions, so the assistant never surfaces a document a given staff member should not see. Every query and answer is logged for audit purposes, which matters as much to the department's compliance team as the answers themselves.
The outcome. Staff get a direct, cited answer in seconds instead of a multi-step search across drives and inboxes. Subject-matter experts stop fielding the same repeated questions and get that time back. Because the system only surfaces current, approved documents, the risk of someone acting on outdated guidance drops as well.
This category of system is already in production in government. The U.S. Government Accountability Office built an internal AI prototype called Project Galileo, on Anthropic's Claude, that lets GAO staff query the agency's library of reports in plain language, with answers grounded in and cited back to GAO's own published documents rather than the open web — reported by FedScoop. Separately, the U.S. Air Force's NIPRGPT tool — an internal generative AI assistant for airmen and guardians — reached roughly 80,000 users in its first three months and 700,000 total before being sunset in favor of the Pentagon-wide GenAI.mil platform, per Breaking Defense and DefenseScoop.
