AI-Enabled Marketing and Communications Campaign Management System

Closed Pre-Solicitation Posted

Solicitation number
FA300225RFI006
Agency
Responses due
Set-aside
No set-aside

Opportunity facts

PSC
Not on record
Place of performance
Jbsa Randolph, Texas 78150, United States

Notice details come from SAM.gov. Updated .

About this opportunity

The Department of the Air Force Air Education and Training Command (AETC) is seeking a comprehensive AI-Enabled Marketing and Communications Campaign Management System to modernize recruitment operations and enhance marketing effectiveness. The procurement targets a cloud-based platform with advanced AI capabilities to address critical challenges including underutilized internal content assets, inefficient workflow management, and fragmented data sets that limit campaign optimization. The system must provide content generation tools, campaign automation, audience segmentation, AI-powered performance optimization, multi-agent AI collaboration, and real-time data processing while maintaining DoD security compliance including FedRAMP and CMMC standards. Key objectives include leveraging thousands of weekly organic stories, images, and videos for recruitment marketing targeted at the 18-24-year-old demographic, streamlining workflow coordination across diverse mission areas, and enabling comprehensive end-to-end campaign tracking linked to DAF accessions. The pre-solicitation notice was posted on July 21, 2025, with responses due by August 5, 2025, and includes a contractor capability survey to assess potential vendors' experience with similar AI-driven marketing systems.

This opportunity operates without any set-aside designation, making it open to all qualified contractors regardless of size or socio-economic status. The documents do not identify any current incumbents or existing contractors for comparable services, suggesting this may represent a new capability acquisition for the Air Force. No specific contract values or budget ranges are disclosed in the pre-solicitation materials, though the scope indicates a comprehensive platform deployment across the Air Force Total Force including Active Duty, Air National Guard, Reserves, and Space Force components. The system must be scalable and adaptable to support multiple mission areas with role-based access controls and mobile-optimized field recruiter reporting capabilities. The procurement emphasizes reducing reliance on external marketing agencies while enhancing internal capabilities, indicating a strategic shift toward cost-effective commercial solutions that leverage the organization's existing content generation capacity.

Notice text

The United States Department of the Air Force (DAF) Air Education and Training Command (AETC) is seeking innovative, commercial AI-enabled Marketing and Communications Campaign Management System solutions to modernize its marketing operations and enhance recruitment efforts. The DAF currently faces significant challenges including untapped internal capabilities with thousands of weekly organic stories, images, and videos that lack systematic aggregation and repurposing for recruitment marketing, inefficient workflow management that hinders coordination across diverse mission areas, fragmented and siloed data sets that limit actionable insights for campaign optimization, and complex organizational needs requiring tailored marketing strategies for multiple mission areas. Additionally, budget and workforce constraints necessitate a shift toward utilizing internal capabilities and cost-effective commercial solutions, while the target 18-24-year-old demographic demands authentic, organic content that leverages the DAF's internal storytelling capacity and earned media opportunities. The primary goal is to acquire a platform that enables rapid marketing campaign creation, streamlined workflow management, and comprehensive tracking of end-to-end marketing campaigns linked to DAF accessions, significantly enhancing recruitment effectiveness by harnessing the organization's extensive internal capabilities and data sets.

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