Request for Information - AFRL AI Solutions
ID: FA865225R0003Type: Sources Sought
Overview

Buyer

DEPT OF DEFENSEDEPT OF THE AIR FORCEFA8652 AFRL HQ AFRL/PKWRIGHT PATTERSON AFB, OH, 45433-7132, USA

Original Source

https://sam.gov/workspace/contract/opp/83599bed2086451b898c06c246d64d5c/view
Timeline
    Description

    The Department of Defense, through the Air Force Research Laboratory (AFRL), is seeking industry input for a Request for Information (RFI) focused on AI-powered solutions to enhance operational efficiency across various domains. The AFRL aims to address challenges such as data silos, manual data handling, and limited AI integration by gathering information on integrated solutions that improve workforce development, streamline workflows, and enhance program management. This initiative is critical for optimizing decision-making processes and improving data quality within the organization. Interested vendors must submit a capabilities survey detailing their proposed solutions by October 3, 2025, and can direct inquiries to Joshua Sawdey at joshua.sawdey.1@us.af.mil.

    Point(s) of Contact
    Joshua Sawdey
    joshua.sawdey.1@us.af.mil
    Files
    Title
    Posted
    Questions_and_Answers_FA865225R0003-AI Solutions.docx
    The document, an excerpt from "Questions and Answers – Sources Sought – FA8652-25-R-0003," clarifies that the effort described within the solicitation is entirely new. Specifically, in response to a question regarding the nature of the effort and the potential existence of an incumbent, the answer confirms that this is a new undertaking with no existing service provider.
    RFI for Artificial Intelligence Assisted Productivity v2.docx
    This Request for Information (RFI) from the Air Force Research Laboratory (AFRL) seeks AI-powered solutions to enhance various operational domains. The primary purpose is to gather information for optimizing HR workforce development, streamlining enterprise workflows, facilitating user-friendly program management, and augmenting science and technology literature searches. AFRL faces challenges including data silos, manual data handling, complex data, visualization bottlenecks, limited AI integration, and stringent security requirements. The RFI outlines specific requirements for each domain, emphasizing solutions that improve ease of use, efficiency, accuracy, and strategic decision-making. Vendors are encouraged to propose solutions addressing data capture, entry, retrieval, visualization, analysis, scalability, security, and integration, with a focus on increasing efficiency, improving data quality, enhancing user experience, and supporting decision-making. Interested businesses must submit a capabilities survey detailing their experience and solutions by October 3, 2025.
    Lifecycle
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    Request for Information - AFRL AI Solutions
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