Future j-books platform

The Air Force Life Cycle Management Center (AFLCMC) at Wright Patterson Air Force Base is seeking a contractor to develop, implement, and maintain a modernized, Artificial Intelligence-enabled Congressional Justification Books (J-Books) platform. This initiative consolidates requirements from four legacy systems—IDECS, EAS, AF MIDAS, and KDSS—into a single integrated solution featuring AI-powered Large Language Models, automated narrative generation, and cloud-based architecture compliant with DoD Impact Levels 4-5. Key qualifications required include demonstrated expertise in AI and technical solutions, understanding of the Planning, Programming, Budgeting, and Execution (PPBE) process, cybersecurity implementation capabilities aligned with DoD standards, and past experience with budget formulation systems. Evaluation will assess the contractor's AI capabilities, technical expertise, PPBE process knowledge, cybersecurity implementation approach, and proposed timeline and performance targets, along with company background and relevant past project references from the last three years. Interested parties must submit a 10-page capabilities package by January 6, 2026, at 5:00 PM EST via email to the specified Air Force contacts, with the place of performance in and around the Dayton, Ohio area.

This Pre-Solicitation Notice is for market research purposes only and carries no set-aside designation. No incumbent contractor or current contract award value has been identified in the available documentation. The RFI does not specify a particular contract award amount or budget range, indicating this is an exploratory phase to assess market capabilities before formal solicitation. Contractors should be prepared to demonstrate experience with DoD contractual vehicles and cloud environments, and they should request a DoD SAFE link from the Air Force contacts for secure proposal submission. While specific performance timelines and service duration are not detailed in the notice, the focus on modernizing legacy systems suggests a multi-phase implementation effort requiring substantial technical engagement and ongoing support capabilities.