From Costly Workarounds to AI-Ready Maintenance Intelligence

Ask five people on your team for the same maintenance number and you'll likely get five different answers. That's not a reporting problem. It's a sign your data foundation was never built for the decisions you're asking it to make.

Most asset-intensive organizations have grown their analytics through spreadsheets, manual exports, custom scripts, countless API integrations, and disconnected systems stitched together over time. Each workaround solves a short-term need but adds another layer of risk. The result: decisions made on numbers nobody fully trusts, analytics that can't scale, and AI initiatives that stall before they start.

Join Israel Ortiz, General Manager for Enterprise Asset Management Solutions, and Jason Kraus, Principal Solutions Consultant at Accruent, for a 45-minute session on how leading organizations are rebuilding trust in their maintenance data, and why a solid data foundation, not another dashboard, is the real unlock for AI.

What you'll learn

• Why the analytics gap is a data architecture problem first, and a reporting problem second

• The hidden cost of workarounds: reduced trust, slower decisions and stalled AI

• What a governed, analytics-ready foundation actually looks like in practice

• How stronger reporting can be the first visible step toward agentic operations, not just a better dashboard

• How to assess the maturity of your own data environment, and where the biggest gaps usually hide.

If your team is still reconciling numbers instead of acting on them, this session will change how you think about the problem. Register now and get ahead of the organizations still stuck patching workarounds.