AI Readiness Assessment

Before investing in AI, you need to know if your organization is ready to support it. This short assessment helps you evaluate your current maturity across data, systems, and teams.

The assessment helps:

• Identify gaps in asset, maintenance, and condition data
• Align leadership on realistic next steps
• Establish a baseline to track progress over time

AI Data Readiness Checklist

AI is only as reliable as the data behind it. This checklist breaks down the specific data elements facilities teams need to support AI-driven insights and automation.

Use it to confirm you have:

• Accurate, standardized asset records
• Complete maintenance histories
• Governance practices to keep data clean over time

AI for Facilities Management Glossary

This glossary creates a shared language so everyone, from facilities leaders to technicians, understands what AI terms actually mean in a facilities context.

You’ll find clear definitions for concepts like:

• Artificial intelligence vs. machine learning
• Predictive maintenance vs. prescriptive maintenance
• Rule-based AI vs. generative AI