Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/5281
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dc.contributor.authorBethany Desjarlais, James King-
dc.contributor.authorJeffrey Tigner-
dc.date.accessioned2024-09-18T21:52:31Z-
dc.date.available2024-09-18T21:52:31Z-
dc.date.issued2024-09-18-
dc.identifier.citationAPAen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/5281-
dc.descriptionAcquisition Management / Graduate Student Researchen_US
dc.description.abstractThis study examines how artificial intelligence (AI) can enhance the Department of Defense’s procurement procedures by focusing on creating requirements documents for small acquisitions under the simplified acquisition threshold. Inspired by research from Naval Postgraduate School alumni, the project explores current and potential AI technologies, identifies document types in which AI could impact, and suggests a contracting branch as a suitable testing ground for AI applications due to its low-threat environment and immediate impact potential. Discussions with stakeholders and contracting experts reveal that AI can improve the quality of requirements documents, often inadequately prepared for contracting agencies. The United States Air Force leads in AI adoption, utilizing machine learning and robotic process automation. Expert engagements demonstrate AI’s immediate and scalable applications, promising cost, and time reductions. AI is seen as a transformative force in government contracting, offering efficiency and innovation, and reshaping how contracts and procurement are managed. Its ability to streamline tasks and provide insightful data analysis heralds a significant modernization in public sector operations.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesAcquisition Management;NPS-AM-24-226-
dc.subjectartificial intelligenceen_US
dc.subjectstreamlineen_US
dc.subjectcontractingen_US
dc.subjectrequirementsen_US
dc.subjectcollaborationen_US
dc.subjectAIen_US
dc.titleLeveraging Artificial Intelligence to Streamline and Automate Procurement Requirements Documentsen_US
dc.typeThesisen_US
Appears in Collections:NPS Graduate Student Theses & Reports

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