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B-417857 1 (2019-11-22)

handle is hein.gao/gaobaeahv0001 and id is 1 raw text is: GO U.S. GOVERNMENT ACCOUNTABILITY OFFICE 441 G St. N.W. Comptroller General Washington, DC 20548 of the United States ....................................................................................................................... DOCUMENT FOR PUBLIC RELEASE The decision issued on the date below was subject to Decision a GAO Protective Order. This version has been approved for public release.----------------------------- Matter of: Accenture Federal Services, LLC File: B-417857 Date: November 22, 2019 Amy L. O'Sullivan, Esq., Olivia Lynch, Esq, and Stephanie L. Crawford, Esq., Crowell & Moring LLP, for the protester. John E. Cornell, Esq., Department of Homeland Security, for the agency. Christopher Alwood, Esq., and Christina Sklarew, Esq., Office of the General Counsel, GAO, participated in the preparation of the decision. DIGEST Protest challenging an agency's evaluation of the protester's quotation is denied where the protester has not shown that the evaluation conclusions were unreasonable, inconsistent with the solicitation, or applied unstated technical requirements. DECISION Accenture Federal Services, LLC (Accenture), of Arlington, Virginia, protests its exclusion from consideration for award of a task order under request for quotations (RFQ) No. 70SBUR1 9Q00000066, which was issued by the Department of Homeland Security, United States Citizenship and Immigration Services (USCIS) for integrated data analytics, artificial intelligence/machine learning, and development, security, and operations services. The protester argues that USCIS unreasonably concluded Accenture's quotation was technically unacceptable based on an evaluation that applied unstated technical requirements. We deny the protest. BACKGROUND USCIS issued the RFQ on May 13, 2019, under the Federal Supply Schedule (FSS) procedures of Federal Acquisition Regulation (FAR) subpart 8.4, seeking quotations for integrated data analytics, artificial intelligence/machine learning, and development,

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