This Sources Sought opportunity from Department Of Defense was posted on June 17, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
(U) Request for Information: Next-Generation Procurement Artificial Intelligence (AI) Powered Acquisition Platform
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
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AI Contract Overview
The Defense Intelligence Agency’s Chief Financial Office, Acquisition and Contracts is seeking market research through a Request for Information (RFI) to inform a potential future prototype project under Other Transaction Authority (OTA) pursuant to 10 U.S.C. § 4022. This RFI, designated CFOAC2-OTA-RFI-FY26-01 and titled "(U) Request for Information: Next-Generation Procurement Artificial Intelligence (AI) Powered Acquisition Platform," is not a solicitation and does not obligate the government to award any contract or agreement. Respondents are invited to submit white papers detailing innovative concepts, technical architectures, and implementation approaches for an AI-enabled procurement system designed to modernize and streamline the acquisition process by reducing manual labor, eliminating inefficiencies, and improving accuracy in tasks such as requirements writing, market research, solicitation drafting, proposal evaluation, compliance checks, and post-award analytics. The goal is to develop a prototype capable of secure deployment across both Unclassified and JWICS networks with an enclave-aware, cross-domain architecture that supports auditing and remains human-centered while integrating with existing FAR, DFAR, and agency workflows. Responses must be submitted as a two-part white paper no longer than five pages in MS Word or searchable PDF format by 12:00 p.m. ET on July 2, 2026, to the designated point of contact. Submissions must clearly mark any proprietary information with the label “Proprietary” on every applicable page and indicate whether the respondent is a traditional or nontraditional defense contractor as defined by 10 U.S.C. § 3014. Respondents are also expected to outline their proposed implementation schedule, estimated prototype period of performance, and recommended demonstration milestones. The government will review submissions using non-governmental advisors bound by non-disclosure agreements, and by responding, respondents grant permission for their proprietary business information to be accessed by these reviewers. No compensation will be provided for development of responses, and failure to submit a response will not disqualify a company from future opportunities. The NAICS code for this effort is 541690, with no set-aside applied, and the place of performance is Washington, D.C., with all technical and operational requirements centered around secure, scalable, and auditable AI/ML capabilities tailored to the unique constraints of defense acquisition environments.
General Info
Agency
NAICS
Place of Performance
Washington, DC, 20340, USASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full Description
General Information and Disclaimer
This request for information (RFI) is issued solely for information and planning purposes and does not constitute a solicitation. The government may use the information received to inform a potential prototype project under Other Transaction Authority (OTA), pursuant to 10 U.S.C. § 4022. This announcement does not constitute a commitment by the government. All information submitted in response to this RFI is voluntary and the government will not compensate any respondent for any cost incurred in development of information provided to the government. This is not a request for proposal; but is a market research tool to determine potential firms capable of providing the supplies described herein prior to an issuance of a request for proposal. The government is not obligated to pay for any information received from potential sources as a result of this RFI. This does not constitute a solicitation and shall not be construed as a commitment by the government of any kind. Responses in any form are not offers and the government is under no obligation to award a contract or non-FAR based agreement (e.g. other transaction) as a result of this announcement. No funds are available to pay for preparation of Responses to this announcement. Any information submitted by Respondents to this technical description is strictly voluntary. Failure to submit a response will not prevent a company from participating in any future competition. Information provided should be unclassified. Any information submitted may be reviewed and used across the government.
On behalf of the Chief Financial Office, Acquisition and Contracts (CFOAC), this Request for Information (RFI) is issued for market research and planning purposes only to inform of a potential future prototype effort under Other Transaction Authority (OTA). The Government seeks white papers from qualified organizations, including nontraditional contractors, traditional contractors, small businesses, startups, system integrators, and research institutions, on concepts for a next generation artificial intelligence-enabled acquisition procurement system that could enhance, streamline and modernize the procurement award process. The Government anticipates awarding an Other Transaction (OT) agreement to one or multiple Respondents under the authority described in 10 U.S.C. § 4022.
The DIA CFOAC is seeking to leverage generative Artificial Intelligence/Machine Learning (AI/ML) capabilities that will accelerate the internal acquisition process. Currently, business operations rely on outdated technology and manually intensive processes that result in duplication of work, wasted labor hours, and major inefficiencies. The goal of embedding AI technology into an existing and recurring process is to reduce inefficiencies from manual tasks, workflows, requirements writing, and increase accuracy of repetitive tasks. The objective of solving this problem seeks to identify innovative concepts, commercial solutions, technical architectures, and implementation approaches for a prototype of a next generation AI-powered acquisition procurement system. The Government is particularly interested in capabilities that can operate in a secure (Unclassified and JWICS networks), auditable, human-centered environment and improve decision quality while reducing administrative burden across procurement planning and execution.
Please see the full description of the RFI in the asscoiated attachment.
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