AI in aviation maintenance planning
Planning is where margin is won or lost. We put AI into the planning loop so work packs assemble faster, hangar and labour capacity is visible weeks ahead, and predictive signals reach a planner while there is still time to act.
What This Usually Looks Like Today
Work packs assembled by hand from task cards and manuals. Hangar and labour capacity managed in spreadsheets. Predictive maintenance data arriving faster than anyone can review it. Slot changes rippling through the plan with no clear owner.
Work pack assembly
Task cards, parts and manhours drafted into a pack for a planner to review rather than build.
Capacity visibility
A rolling view of hangar slots, labour and skills, so overload is visible before it happens.
Predictive triage
Condition and reliability signals filtered, ranked and pushed to the planner who can act on them.
Do you build the predictive models yourselves?
Usually not. Most operators already have condition data or an OEM feed. Our job is turning that into a triaged, actionable queue inside your planning workflow.
How long before we see a result?
First automations typically go live within weeks. We scope so that the earliest deliverable is something planners use daily.
Get Started
Book a free 30-minute consultation with a CURA automation specialist.