Maintenance effort
Reduce wasted maintenance effort
Identify duplicated, low-value or poorly aligned planned work so engineers can focus attention where it changes asset outcomes.
AI-assisted maintenance waste reduction
Practical AI tools for maintenance waste reduction.
NextGenMaint helps maintenance, reliability and inventory teams in asset-intensive energy and resources operations identify measurable waste in planned maintenance, asset strategy and spare parts decisions.
01
Planned maintenance
02
Inventory
03
Asset strategy
Maintenance waste map
Find the waste patterns worth reviewing first.
The first step is making maintenance waste visible across planned work, asset strategy and spare parts decisions.
Maintenance waste map
Evidence areas for review
01
Planned maintenance
Duplicated, misaligned or low-value PM tasks
02
Inventory
Slow-moving, obsolete and non-working spares
03
Asset strategy
Risk alignment, FMEA input and decision quality
Evidence
Priority
Review
Where value shows up
Focused on waste maintenance teams can measure.
NextGenMaint starts with practical workflows where maintenance, reliability and inventory teams can see the cost of waste and decide what to change.
Inventory
Identify inventory waste
Surface slow-moving, obsolete and non-working inventory that may be tying up working capital or hiding reliability risk.
Reliability decisions
Improve reliability decision quality
Use AI-assisted analysis to organise evidence, challenge assumptions and support better maintenance strategy decisions.
Applications
Built around practical maintenance use cases.
The product direction starts with problems maintenance and reliability teams already recognise: planned maintenance waste, dead stock and strategy quality.
PM02 Optimisation
Review planned maintenance work to identify duplication, low-value tasks and misalignment with asset risk.
Dead Stock Reduction
Identify slow-moving, obsolete and non-working inventory that may be tying up working capital.
Maintenance Strategy Support
Use AI-assisted analysis to support FMEA, strategy reviews and reliability decisions.
How it works
Start narrow, prove value, then scale what works.
The approach is deliberately practical: understand the waste pattern, test with real or sample data, then turn the useful workflow into something repeatable.
01
Diagnose
Understand the workflow, data and waste pattern.
02
Pilot
Test the highest-value use case on real or sample data.
03
Scale
Turn what works into repeatable workflows, review outputs or product modules.
ENERGY AND RESOURCES
Built for asset-intensive operations.
NextGenMaint is being shaped around maintenance and reliability problems common in mining, energy and resources, where equipment availability, planned work quality and spare parts decisions have direct operational impact.
ENGINEERING REVIEW
Designed for engineering review, not black-box decisions.
NextGenMaint helps organise evidence, surface waste patterns and prioritise review areas so engineers can decide what action makes sense.
Have a maintenance or inventory waste problem worth testing?
Start with one focused workflow and a clear value pool.