Use case
Improve Asset Reliability
Move from reactive firefighting to engineered reliability.
The challenge
Reliability cannot improve while maintenance is reactive and failure data is too coarse to act on.
How AssetAI helps
- Failure analysis at the exact component via the hierarchy
- Condition and usage-based maintenance on critical assets
- MTBF trends that reveal degrading machines
- Repair/Review/Replace verdicts with reasons
The outcome
- A measurable, rising reliability trend
- Early warning before failures, not after
- Capital spent on the right replacements
Frequently asked questions
Can I import my existing asset list from Excel?
Yes — a CSV import maps your columns and even brings across the asset hierarchy, so your existing register is in the system in minutes.
Does it work offline on the shop floor?
Yes — QR fault reporting and inspection rounds work without a network connection and sync automatically when connectivity returns.
Is my data mine to export?
Always. One click exports every record as CSV files — there is no lock-in, ever.
How quickly can we get started?
Most plants run their first live workflow the same afternoon, using the guided setup and a sample data kit.