aiVA
AI advisor for maintenance scheduling
Company
Aitomatic
Position
Founding Product Designer
Year
2023
Market
APAC, B2B
01
Petronas, a major global energy operator, partnered with Aitomatic to pilot an AI product for maintenance planning in gas-processing operations.
Planners at Petronas coordinated hundreds of tasks, while unplanned downtime could cost millions per hour. Their maintenance systems stored asset data and work orders, but offered limited guidance on what required attention when operating conditions changed. Planners had to weigh production risk, dependencies, resources, and cost before changing a priority. Recalculating the schedule was slow and depended too much on experience.
02
Solution
aiVA was an AI advisor that recalibrated maintenance schedules.
It identified the tasks requiring attention, explained reasons behind its recommendations, and estimated the impact on production, downtime, logistics, and cost. Planners could test a priority change, review its effect across the schedule, and accept or override it. They could also explain why a recommendation was incorrect. aiVA then retained that context for similar planning scenarios.
03
my role
I shaped aiVA's product and design direction with the Head of Product.
Through contextual research and workflow mapping with Petronas planners, I translated their decision process into the task-priority model, trade-off logic, recommendation structure, and plan-level impact experience.
I led the design of the predictive reasoning, schedule recalibration, and planner feedback workflows. I worked closely with product and engineering through concept development, prototyping, and testing against real maintenance scenarios.
04
impact
In early pilot testing, planners completed schedule recalibration 50% faster. They also reported faster decision-making and greater confidence because they could review the reasoning and projected consequences before changing the schedule.
The pilot informed aiVA's direction for other industrial planning workflows.
