Performance Work Statement - AI-Enabled Support

PERFORMANCE WORK STATEMENT (PWS)

AI-Enabled Maintenance Decision Support and Edge Computing Platform RAF Lakenheath & RAF Mildenhall, United Kingdom

1. DESCRIPTION OF SERVICES

1.1 Background

Aircraft and ground vehicle maintenance operations within the United States Air Forces in Europe (USAFE), specifically at RAF Mildenhall supporting the 100th Maintenance Group (100 MXG) and 100th Logistics Readiness Squadron, Vehicle Management Flight (100 LRS/LGRV), require rapid, accurate access to complex technical data and diagnostic troubleshooting procedures. Currently, technical order (TO) documents and commercial/military vehicle technical manuals are managed across separate digital systems (e.g., Enhanced Technical Information Management System [ETIMS], disparate PDF repositories, and commercial fleet diagnostic databases). Navigating multi-volume TO libraries and fault isolation trees on the flightline and in vehicle bays is labor-intensive, relies on keyword searches, and can lead to procedural omissions or extended troubleshooting timelines. To enhance mission readiness, reduce Mean Time to Repair (MTTR), and streamline technician workflows, the Government requires a commercial, production-ready Artificial Intelligence (AI) decision-support software platform. This system must integrate Technical Orders, maintenance records, controller area network (CANbus) telematics, sensor inputs, and technician knowledge to guide personnel through step-by-step diagnostic and repair procedures on ruggedized mobile edge devices in both connected and disconnected environments.

1.2 Scope

The Contractor shall provide non-personal services, including all personnel, equipment, tools, software licenses, supervision, and services necessary to deploy, integrate, secure, and sustain a commercial AI-enabled maintenance decision-support platform at RAF Mildenhall, UK. The software platform shall integrate aircraft technical orders, ground fleet service manuals, historical maintenance data, and vehicle diagnostic telemetry (CANbus) into modular, guided maintenance workflows. The system must operate securely on mobile edge devices (e.g., ruggedized tablets) with full operational capability during disconnected operations. The Contractor shall support the entire capability lifecycle, including operational testing, cybersecurity engineering under the DoD Risk Management Framework (RMF) leading to an Authority to Operate (ATO), user onboarding and training, hardware integration, and ongoing system sustainment.