Presight Partners With Abu Dhabi Aviation Group To Build An AI-Driven Aviation Operations Backbone
Published on November 24, 2025
Presight and Abu Dhabi Aviation Group (ADA Group) have signed a Memorandum of Understanding to establish an AI-driven, Industry 4.0 ecosystem across aviation operations in Abu Dhabi. The goal is clear: unify data, speed up decisions, raise fleet readiness, and support the UAE's push for tech sovereignty. For operations teams, this is about measurable outcomes, not buzzwords.
Why this matters for operations
- Higher dispatch reliability and aircraft availability.
- Fewer AOG events and shorter turnaround times.
- More stable schedules and better crew utilization.
- Optimized inventory, smarter maintenance windows, and better cost control.
What the MoU delivers
Presight and ADA Group plan to integrate AI, advanced analytics, and sovereign data-management systems across aircraft, maintenance, logistics, production, and workforce tools. The result is a unified operational data fabric that connects systems end-to-end. With real-time insights, leaders can shift from reactive firefighting to proactive planning that improves safety, performance, and sustainability.
For passenger operations, expect stronger predictive maintenance, tighter fleet management, and fewer avoidable delays. More aircraft ready when needed means schedules hold, buffers shrink, and customer experience improves.
Tourists will feel the difference
AI-driven predictive analytics and real-time asset monitoring translate to fewer disruptions and more dependable aircraft availability. A digital twin of aircraft and operations supports continuous monitoring and faster issue resolution. Explainable AI adds transparency to safety-critical decisions, reinforcing passenger confidence.
National competitiveness and governance
Mahmood Alhay Alhameli, Group CEO of Abu Dhabi Aviation Group, underscored the company's commitment to AI and predictive analytics to stay ahead in aviation operations. A UAE-governed aviation ecosystem strengthens digital sovereignty and raises the bar for the MENA region. This aligns with the country's push for smart infrastructure and long-term resilience.
Tech pillars you can act on
- Unified data fabric: One operational backbone linking fleet, MRO, supply chain, and workforce systems.
- Predictive maintenance: From interval-based to condition-based maintenance, driven by sensor and historical data.
- Digital twins: Live models of aircraft and operations to test scenarios, schedule work, and prevent failures.
- Real-time monitoring: Continuous health and utilization tracking for quicker, safer decisions.
- Explainable AI: Transparent models that meet safety and audit requirements; integrate with existing SMS.
Operator's playbook: get value in 90-180 days
- Map data flows: Aircraft telemetry, MRO logs, parts history, MEL/CDL, EFB, rostering, and supply chain.
- Prioritize use cases: Start with AOG prediction, parts demand forecasting, and turnaround optimization at two bases.
- Stand up the data fabric: Standardize schemas, APIs, and access controls; define data quality rules and SLAs.
- Build the digital twin: Begin with one fleet type and a single heavy maintenance line.
- Safety and explainability: Document model behavior, add human-in-the-loop for critical gates, and align with the AI risk framework from NIST.
- Change management: Train planners, MCC, and line maintenance on new alerts, thresholds, and workflows.
- Measure and iterate: Run weekly ops reviews on KPIs; expand to more fleets and stations after wins.
KPIs to track from day one
- Dispatch reliability and completion factor.
- AOG hours per 1,000 block hours.
- Average turnaround time (RON and through flights).
- Unplanned removals per tail per month.
- Maintenance cost per block hour and inventory turns.
- On-time performance (D0/A14) and crew reassignments per day.
Presight's role
Thomas Pramotedham, CEO of Presight, highlighted practical, scalable solutions co-developed with ADA Group's operational teams. The focus is on real-time data, predictive maintenance, and digital-twin capabilities delivered within a UAE-governed infrastructure. The aim: a resilient aviation backbone that adapts quickly while staying compliant and secure.
What this means for Abu Dhabi
This partnership positions Abu Dhabi as a regional hub for AI-driven aviation. Expect measurable gains in aircraft availability, supply chain performance, and workforce readiness-extending benefits across tourism and the wider economy. It also accelerates the UAE's move toward technological self-reliance.
Bottom line for operations
This MoU moves aviation ops from fragmented systems to a unified, data-first backbone. If you run operations, start with one fleet, one line, three use cases, and prove ROI fast-then scale. If your team needs a fast track on AI skills for ops, see the practical learning paths at Complete AI Training.
Your membership also unlocks:
