That belief is everywhere in property management, and it’s understandable. Most AI people have experienced was layered onto legacy software, automating bad rules faster and relying on burned-out humans to hold everything together.This episode was inspired by a thoughtful post from Peter Lohmann, who rightly pointed out that businesses should identify their biggest constraint before rushing into AI. Constraint theory matters.Where this conversation picks up is the next question: what if our expectations of AI are anchored to what it used to be?In this episode, we explore the difference between AI as a tool and AI as a teammate. One that can do the work, ask better questions, and surface gaps between what teams think is happening and what’s actually happening, especially in maintenance.The takeaway is simple: the right AI doesn’t need perfect standards before it starts. It can help teams discover what their standards really are.🌟 Stay Connected with Us:🎙️ Connect with Pablo Gonzalez on LinkedIn📬Subscribe to Vendoroo's Weekly Newsletter💼 Follow Vendoroo on LinkedIn🌐 Visit Vendoroo's WebsiteChapters:00:00 Introduction and Content Overview00:20 Highlighting Peter Lowman's Post01:18 Welcome to the Podcast01:48 AI in Property Management02:18 Challenges with Traditional AI04:26 The Role of Agentic AI05:42 Onboarding with AI06:30 The Importance of Standards08:11 Conclusion and Call to Action

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