AI – Data Cleansing
AI Data Cleansing completes and standardises historical fault and defect data so it becomes analysis-ready. Built on ProAIM’s proven data-cleaning platform and enhanced with large-model AI, it fills missing details like failure symptoms, likely causes, repairable parts, and fault modes while removing duplicates and normalising descriptions. Cleaning rules align with your maintenance scenarios, master data standards, and ISO 14224-style libraries, ensuring compatibility with your master data dictionary. Visual dashboards track progress and verification, enabling reliability analytics, fault statistics, and maintenance strategy improvement.
Clean Historical Fault Data
Leverage AI to complete and standardise historical fault records - filling in missing symptoms, causes, parts, and failure modes- so you can drive reliable analysis from day one.
Cleaning Rules
Develop scenario-based cleaning rules aligned to your master data standards and ISO 14224-style libraries to improve consistency and keep SAP/CMMS integration clean.
Visualise and Verify
Run dashboards to visualise cleaning progress and verify accuracy, completeness, and standardisation - so teams trust the data and act on it with confidence.
