AI maintenance knowledge copilot
Galaxy Holdings · Posted 2 months ago
Automotive and mobilityDocument Intelligence
- Budget
- To be determined
- Timeline
- Not specified
- Closed on
- 31 Jul 2026, 16:59 ICT
Problem statement
- Aircraft defect assessment and maintenance decision-making still depend heavily on manual review of technical documents and engineer experience.
- Maintenance Control Center and engineering teams must continuously reference large volumes of documentation, including AMM, MEL, CDL, TSM, engineering orders, and historical defect records.
- As fleets grow and operational pressure increases, manual validation becomes more time-consuming and more susceptible to human error.
Expected outcomes and success metrics
- Reduce maintenance document search time by 50%.
- Reduce defect validation effort by 30%.
- Reduce incorrect technical references by 80%.
- Reach user satisfaction score above 4/5 for target engineering users.
Current process
Defect assessment and maintenance decisions depend on manual review of technical documents and engineers' experience.
Target users and impacted teams
Maintenance Control Center (MCC) and engineering teams.
Data availability and readiness
Aircraft Maintenance Manual (AMM).
Minimum Equipment List (MEL).
Configuration Deviation List (CDL).
Troubleshooting Manual (TSM).
Historical defect logs, engineering procedures, and maintenance records, subject to approval.
Relevant AI technologies
Document Intelligence