(U) Request for Information: Next-Generation Procurement Artificial Intelligence (AI) Powered Acquisition Platform

Closed Pre-Solicitation Posted

Solicitation number
CFOAC2-OTA-RFI-FY26-01
Agency
Responses due
Set-aside
No set-aside

Opportunity facts

PSC
Not on record
Place of performance
Washington, District of Columbia 20340, United States

Notice details come from SAM.gov. Updated .

About this opportunity

The Defense Intelligence Agency is issuing a Request for Information on June 17, 2026, to conduct market research on concepts for a next-generation artificial intelligence-enabled acquisition procurement platform, with white paper responses due July 2, 2026, and a potential follow-on prototype effort expected under Other Transaction Authority pursuant to 10 U.S.C. § 4022. This is not a solicitation; no compensation is available for response preparation, and submission does not obligate the government to award any contract or non-FAR agreement.

DIA seeks white papers from nontraditional contractors, traditional contractors, small businesses, startups, system integrators, and research institutions. The envisioned capability must support acquisition professionals, program offices, legal and policy stakeholders, and industry participants with tools spanning market research, requirements development, solicitation drafting, proposal intake, evaluation workflows, compliance checks, procurement analytics, and post-award insights. Required capabilities include conducting and enhancing market research through data aggregation; maintaining current FAR and DFARS content with update monitoring and version control; generating accurate clause recommendations and matrices across FAR Part 16 contract types; producing draft acquisition documentation including Determinations and Findings and Justifications and Approvals; providing explainable outputs with source attribution and human-in-the-loop controls; supporting role-based access and records management; and demonstrating architecture capable of deployment to higher-security environments including JWICS networks.

White papers must not exceed five pages (MS Word or searchable PDF, Times Roman 12-point font, one-inch margins) plus a five-slide maximum PowerPoint presentation. Respondents must identify whether they are traditional or nontraditional defense contractors; traditional contractors must disclose if the prototype team includes significant nontraditional contractor participation or nonprofit research institution involvement, or if they will assume a minimum one-third cost share. Questions are due by 5:00 pm ET on June 26, 2026. Submit white papers electronically to demario.grover@dodiis.mil.

Notice text

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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