LEVERAGING ARTIFICIAL INTELLIGENCE TO STREAMLINE AND AUTOMATE PROCUREMENT REQUIREMENTS DOCUMENTS

Simple item page
dc.contributor.advisorYoder, E. Cory
dc.contributor.advisorMizzi, Joseph, AFMC
dc.contributor.authorDesjarlais, Bethany A.
dc.contributor.authorTigner, Jeffrey B.
dc.contributor.authorKing, James P.
dc.contributor.departmentDepartment of Defense Management (DDM)
dc.contributor.secondreaderWaldock, Katelynn, DOE
dc.date.accessioned2024-08-19T16:31:10Z
dc.date.available2024-08-19T16:31:10Z
dc.date.issued2024-06
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.distributionstatementDistribution Statement A. Approved for public release: Distribution is unlimited.en_US
dc.description.serviceCivilian, Department of the Air Forceen_US
dc.description.serviceCivilian, Department of the Air Forceen_US
dc.description.serviceLieutenant Colonel, United States Army National Guarden_US
dc.identifier.curriculumcode835, Contract Management (DL)
dc.identifier.curriculumcode835, Contract Management (DL)
dc.identifier.curriculumcode835, Contract Management (DL)
dc.identifier.thesisid40175
dc.identifier.urihttps://hdl.handle.net/10945/73102
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.relation.ispartofseriesCapstone Applied Project Reports
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.authorartificial intelligenceen_US
dc.subject.authorstreamlineen_US
dc.subject.authorcontractingen_US
dc.subject.authorrequirementsen_US
dc.subject.authorcollaborationen_US
dc.subject.authorAIen_US
dc.subject.authorautomationen_US
dc.subject.authorprocurementen_US
dc.subject.authoragileen_US
dc.titleLEVERAGING ARTIFICIAL INTELLIGENCE TO STREAMLINE AND AUTOMATE PROCUREMENT REQUIREMENTS DOCUMENTSen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineContract Managementen_US
etd.thesisdegree.disciplineContract Managementen_US
etd.thesisdegree.disciplineContract Managementen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameMaster of Science in Contract Managementen_US
etd.thesisdegree.nameMaster of Science in Contract Managementen_US
etd.thesisdegree.nameMaster of Science in Contract Managementen_US
relation.isDepartmentOfPublicationb8b0094c-45b5-4a6a-8813-f61a5dec4f2a
relation.isDepartmentOfPublication.latestForDiscoveryb8b0094c-45b5-4a6a-8813-f61a5dec4f2a
relation.isSeriesOfPublication409d700c-a0df-4ded-8bb7-9da7660ceddb
relation.isSeriesOfPublication.latestForDiscovery409d700c-a0df-4ded-8bb7-9da7660ceddb
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
24Jun_Desjarlais_Bethany_Tigner_King.pdf
Size:
3.61 MB
Format:
Adobe Portable Document Format
Download
Collections
Theses