Interactive checklist

Your Maximo
AI Readiness Checklist

17 checkpoints across four maturity stages — from connected workflows to full AI activation in Maximo Application Suite.

17 items · 4 stages · IBM Maximo / MAS

AI in Maximo is only as good as the data feeding it. Before you activate asset health scoring or failure prediction in MAS, use this checklist to find out where your foundation stands — and what to fix first.

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The four stages

Connected workflow

Inspections, PMs, and routes working as a system

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Inspection forms are structured with consistent condition ratings (not free-text only) PMs are linked to assets or locations (not orphaned or duplicated) Routes are used to group assets/locations for field execution Inspection results can trigger or adjust PM work orders

Insight-driven reporting

Using data to measure and improve your maintenance strategy

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Planned vs. unplanned work order ratio is tracked over time KPIs or queries exist to identify repeat-failure assets PM intervals are reviewed periodically against inspection findings Work order source (PM vs. inspection-triggered vs. emergency) is distinguishable in reports

AI-ready data foundation

Clean, consistent, complete data that AI models can learn from

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Failure codes are completed on work orders (not blank or "Other") A failure class hierarchy exists (Failure Class → Problem → Cause) Asset criticality or priority is assigned and kept current At least 12 months of consistent work order and inspection history exists per asset class Meter readings or condition scores are captured regularly for key assets

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Tip — failure codes first

Before enabling AI features in MAS, audit your failure code completion rate. Even a simple three-level hierarchy gives AI models something meaningful to learn from. This single data quality fix has an outsized impact on prediction accuracy.

Maximo Manage + AI activation

Enabling and validating AI features in Maximo Application Suite

0 / 4 0%

Asset health score configuration has been reviewed in MAS Failure prediction or scoring is enabled for at least one asset class AI-generated work scope recommendations are being reviewed by technicians A feedback loop exists to validate and refine AI recommendations over time

Your MaximoAI Readiness Checklist

Your Maximo
AI Readiness Checklist