Is Poor Asset Data Hampering Your CMMS and AI Goals?

Why the eleventh system won't fix what the first ten didn't. Between 50% and 80% of CMMS implementations are considered failures. Almost none of them fail because of missing features. They fail because of change management, unclear objectives, and an asset register nobody trusts. Now AI is making the problem bigger. In this IFMA IT Community webinar, Josh Lowe (Chief Solutions Officer, AkitaBox) and Nic Guedenet (FM Specialist, AkitaBox) explain why your CMMS keeps letting you down. They also show how to fix the foundation under it without starting another software migration. You'll learn: • Why a CMMS is built to manage work, not to establish what you own • The four asset data failure patterns • What "AI-ready" and "predictive maintenance" actually require from your asset data • A five-step sequence to make the CMMS you already own defensible • How to produce asset-level TCO and risk data that holds up in budget conversations