Boosting IBM Maximo Efficiency with Automation Scripts and AI-Powered Operations"

‍

Automation Scripts extend Maximo functionality without Java compilation or downtime.

Supported languages: Jython, JavaScript, Python—all executing server-side.

Key advantages:

✓ Zero-downtime deployment: Enable/disable at runtime✓ Upgrade compatibility: Stored as database metadata✓ Consistent performance: Server-side execution✓ Flexible event handling: Single scripts trigger multiple events

Real-world impact: 30-40% reduction in time spent on manual data entry.

─────────────────────

PRACTICAL AUTOMATION PATTERNS

Auto-Calculated Fields: Safely calculate task duration based on labor hours and complexity,with error handling.

Smart Validation: Enforce business rules—high-priority work orders require supervisorapproval.

Compliance Automation: Validate all required safety fields before work order creation.

These patterns enforce organizational standards at the platform level, eliminating manualverification.

─────────────────────

AI-POWERED OPERATIONS

MAS 9.1 introduces Maximo Assistant powered by watsonx.ai—enabling natural language queries:

"Which work orders are missing job plans?""Show me assets with declining performance""What's the total maintenance cost per site this quarter?"

Users report 91% accuracy in problem code suggestions and dramatic analysis time reductions.

─────────────────────

COMBINING AUTOMATION AND AI

Scripts handle deterministic validation and compliance. AI brings adaptability andpredictive insight. Combined: intelligent workflows that adapt while maintaining governance.

Condition-based Maintenance: Real-time monitoring triggers work orders instantlyFailure Prediction: AI forecasts equipment failures weeks in advanceIntelligent Scheduling: Automation optimizes maintenance based on AI insights

Organizations implementing this approach report:

→ 25-35% reduction in unplanned downtime→ 40-50% improvement in maintenance resource utilization→ 60% faster issue resolution

─────────────────────

IMPLEMENTATION STRATEGY

1. Identify high-friction manual processes
2. Design automation scripts addressing these
3. Deploy in phases with testing
4. Gradually introduce AI-powered predictive features
5. Measure and iterate

Start with targeted automation addressing pain points. Gradually introduce AI. Whethervalidating data, enforcing compliance, or implementing predictive maintenance—the toolsexist today.