What project AL9 buys
This project matures and demonstrates a pilotage and decision aiding system that allows for carefree operations in complex and hostile environments through demonstration of a comprehensive human machine interface for all situational awareness (SA) domains (terrain & obstacles, threat, weather, & environment); and demonstration of decision aiding technologies to reduce cognitive loading of air crews during operations in complex and hostile environments. Work in this project is fully coordinated with Program Element (PE) PE 0602148A (Future Vertical Lift Technology) / AL8 (Holistic Situational Awareness and Dec Making Tech). Work in this project is performed by the U.S. Army Combat Capabilities Development Command (DEVCOM) Analysis Center (DAC) and Aviation & Missile Center (AvMC).
Project AL9 funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 7.3 |
| FY2026 | Enacted | 10.9 |
| FY2029 | Outyear | 1.5 |
| FY2030 | Outyear | 1.5 |
| FY2031 | Outyear | 1.5 |
3 accomplishments / planned programs
The R-2A exhibit — the only level of the budget that describes work that has not happened yet. Activities carry the prior, current and budget year only, no five-year plan. Coverage is partial across the corpus, so count activities, never total them.
FY2026 to FY2027 change Funding decrease reflects the strategic reallocation of resources to support evolving priorities and objectives.
FY2026 plans — current year Will perform programmatic wrap-up and findings, publish/submit remaining deliverables to Stakeholders.
FY2025 accomplishments Will mature and demonstrate information portrayal and related data management capabilities, advanced communication management and situation awareness capabilities, and design and prepare for lab demonstrations in FY26 in support of Army Aviator mission task performance.
FY2026 to FY2027 change Funding decrease reflects the strategic reallocation of resources to support evolving priorities and objectives.
FY2026 plans — current year Will optimize and demonstrate effects of intelligent agents and virtual crewmember to enhance aircrew decision-making, situational awareness, and dynamic information management; optimize technologies for performance-based crew workload and embedded AI applications including task automation. and embedded large data analytics; continue to demonstrate interface design extensions to support enhanced decision making in AMD C2 operations centers conducting multidomain operations; optimize and demonstrate concepts for supervised automation (control) in AMD C2 operations centers; and continue to mature the multi-level C2 performance assessment that considers the Soldier and system capabilities and…
FY2025 accomplishments Will mature and demonstrate effects of intelligent agents and virtual crewmember to enhance aircrew decision-making, situational awareness, and dynamic information management; mature technologies for performance-based crew workload measurement and task automation, demonstrate impact of advanced technologies to enhance Soldier performance with embedded large data analytics, and mature advanced Soldier displays to include augmented reality interfaces; continue to demonstrate interface design extensions to support enhanced sense making and decision making in AMD C2 operations centers conducting multidomain operations; demonstrate and analyze concepts for supervised automation (control) in AMD…
FY2026 to FY2027 change Funding decrease reflects the strategic reallocation of resources to support evolving priorities and objectives.
FY2026 plans — current year Will develop dynamic mission planning technologies for real-time, in-flight adaptation while providing updates to imported pre- mission data products; enhance machine agents for effective, onboard information synthesis and decision support for the aircrew, incorporating mission and aircraft performance data, to include handling and presentation of automatic route and flight profile options; exploit automation and supervised autonomy to improve communication protocols.