DOM + TRAKT
From Predictive Maintenance to Optimized Execution
DOM + TRAKT
DOM + TRAKT is a fully integrated AI-powered maintenance intelligence platform designed to support aviation operators managing complex fleets under strict operational constraints.
It combines:
• TRAKT – high-accuracy failure prediction
• DOM – fleet-level maintenance optimization
Together, they transform maintenance from a reactive or locally optimized process into a strategic, fleet-wide decision system.
Modern aviation fleets operate under increasing pressure:
High availability requirements
Limited maintenance resources
Strict regulatory and operational constraints
Unpredictable failures with cascading operational impact
Traditional maintenance systems answer only one question:
“What might fail?”
DOM + TRAKT answers two critical questions simultaneously:
What will fail?
How should we optimally respond across the entire fleet?
WHY DOM + TRAKT
DOM AI: Document Classification Case Study
Managing defense helicopter fleets involves complex maintenance constraints, limited resources, and strict airworthiness requirements. Traditional planning methods struggle to cope with this complexity.
By deploying DOM AI’s Deep Optimization Model, Qatari Defense analyzed millions of maintenance scenarios to optimize planning and resource allocation—significantly reducing downtime and improving operational readiness, while leveraging existing maintenance systems.
Qatari Defense is a government defense organization in the State of Qatar responsible for maintaining and operating mission-critical military capabilities, including aviation assets. Focused on national security and operational readiness, Qatari Defense manages complex air operations involving fixed-wing and rotary aircraft fleets.
With a strong emphasis on safety, reliability, and efficiency, the organization continuously invests in advanced technologies and modern systems to ensure high aircraft availability, effective maintenance operations, and sustained mission readiness in line with Qatar’s strategic defense objectives.
As a critical national defense organization, Qatari Defense is committed to maintaining the highest levels of operational readiness and aircraft availability. Mission-critical aviation operations depend on the reliability of helicopter fleets operating under strict safety, airworthiness, and resource constraints.
Both the availability of aircraft for operational deployment and the efficiency of maintenance activities are essential to national security objectives. Ensuring optimal maintenance planning while minimizing downtime is therefore a strategic priority, directly impacting mission success and defense effectiveness.
Managing a large helicopter fleet across multiple operational requirements, Qatari Defense faced increasing complexity in maintenance planning and aircraft availability. Dozens of aircraft, each with different maintenance cycles, resource dependencies, and mission priorities, had to be managed simultaneously.
While safety and airworthiness were fully embedded in operational procedures, traditional planning methods struggled to cope with the combinatorial complexity of maintenance scheduling. Identifying optimal maintenance plans to reduce downtime and improve fleet availability required advanced optimization capabilities beyond manual or conventional systems.
When evaluating solutions to improve aircraft availability and maintenance planning, Qatari Defense assessed several traditional planning tools and optimization approaches. Most relied on manual scheduling, rule-based logic, or limited simulation capabilities that were unable to cope with the scale and complexity of defense aviation operations.
After a proof-of-concept phase, ADGS’ DOM AI Deep Optimization Model was selected to support maintenance decision-making and optimize helicopter fleet availability. The ability of DOM AI to process millions of maintenance scenarios while respecting airworthiness constraints, resource availability, and mission priorities was a key selection factor.
“Traditional planning methods could not effectively address the complexity of our maintenance environment. DOM AI provided a data-driven optimization approach that significantly improved planning accuracy and operational outcomes,” said a senior maintenance decision-maker.
DOM AI operates on top of existing maintenance systems, analyzing maintenance tasks, aircraft status, and operational constraints to generate optimized maintenance plans. This enables maintenance and operations teams to make informed decisions, reduce downtime, and improve fleet readiness without changing established processes.
As the developer of DOM AI, ADGS worked closely with Qatari Defense teams to adapt the model to operational realities, ensuring alignment with defense aviation requirements and long-term scalability.
Since the deployment of DOM AI within Qatari Defense aviation operations, significant benefits have been realized across maintenance and operations teams, delivering a strong return on investment. The improvement in aircraft availability alone had a direct and measurable impact on operational readiness and mission effectiveness.
One of the most notable outcomes was the increase in helicopter fleet availability from 37% to 75%, achieved through optimized maintenance planning and better resource utilization. Maintenance teams experienced fewer delays, improved coordination, and greater confidence in planning decisions.
The ease of integration was also a key benefit. “DOM AI did not require changes to our existing maintenance systems or workflows. It provided optimized recommendations that supported decision-making without adding operational burden,” noted a senior operations stakeholder.
By operating transparently on top of existing systems, DOM AI enabled data-driven planning while allowing maintenance teams to focus on execution rather than schedule complexity—proving that advanced optimization can enhance operational efficiency without disrupting established processes.
DOM AI (Deep Optimization Model) is an advanced artificial intelligence–based optimization framework designed to maximize aircraft availability by solving complex maintenance planning problems. It analyzes millions of possible maintenance scenarios across fleet, resource, and operational constraints to identify optimal maintenance plans that improve availability, reduce downtime, and enhance operational readiness.
DOM AI leverages proprietary optimization algorithms and AI techniques to address the combinatorial complexity inherent in managing aircraft fleets, including helicopters and fixed-wing aircraft. It operates on top of existing maintenance and operational systems, supporting decision-makers without disrupting established processes.
DOM AI is developed by ADGS, in collaboration with Advanced Services and Maintenance (ASM), and is tailored to meet the stringent requirements of commercial, government, and defense aviation organizations.
