How U.S. General Services Administration uses AI

GSA's Contract Acquisition Lifecycle Intelligence (CALI) is a machine learning tool built to check vendor proposals for compliance in four areas (format, forms, representations and certifications, and requirements) to support source selection, with designated evaluation members reviewing the results. It was offered by Octo Consulting as a hosted service on AWS.

The 2024 federal AI use case inventory describes it as still being trained on sample data, gives no implementation date, states that no testing in an operational environment had been done, and lists it as retired on 1 November 2024. No outcome and no reason for retirement are published, and nothing in the source shows it was used on live source selections; it is recorded here because stopped projects are part of the evidence.

GSA's Solicitation Review Tool screens federal information and communications technology solicitations published on SAM.gov and flags those that may lack required compliance language, automating a first screening that would otherwise need extensive manual review by agencies. A related version that checks for Section 508 accessibility requirements was listed as pre deployment. The inventory lists the tool as deployed without further detail on benefits or outcomes.

The General Services Administration runs an Acquisition Analytics capability that uses natural language processing to classify transactions within the Government-wide Category Management Taxonomy. The classification lets category managers see how obligations are distributed across categories and decide where to aggregate spend across agencies. The 2024 inventory gives an implementation date of April 2019 and the 2025 inventory lists it as deployed; no outcome figures are published.