2,119 AI is moving faster than your organization, and no, pilots don’t count as a plan

“AI is moving faster than your organization, and no, pilots don’t count as a plan.” — Mike BrewerEvery multifamily PMC wants a great AI story to tell! Here is the version you don’t want to tell. Or, worse, you don’t want to acknowledge. Even worse, the one you’re oblivious to. Don’t fret, there is hope; most PMCs aren’t unprepared. Wait, I lied; it’s past time to worry; they’re misprepared. Break the glass and pull the alarm! All of them!Over the past several years, primarily due in part to supplier partners (no ill intent meant to these fine humans) adding AI features to their core products! Or in some cases as a marketing tagline. But, I digress. PMCs have adopted AI like it’s a tool. Not a transformation. A pilot here. A dashboard there. But under the hood? No structure. No systems. No real muscle for iteration – read humans that are open to change.Make no mistake, Multifamily and thus PMCs are sprinting toward an AI-infused future. The problem is they are still running in the shoes Jim Thorpe made famous at the 1912 Stockholm Olympics.Not meant as a metaphor, but as a diagnosis and more importantly a warning! Get a new pair of track shoes and lace them up tight because this is the most critical sprint your PMC will ever run! The time is NOW!AI adoption is moving at breakneck speed. But the operational backbone that supports it is made of processes, people, decision rights, and data structures. And that backbone is fragmented. It is outdated. In many cases, it is dangerously unaware.Most PMCs do not have a centralized AI team. No one owns the roadmap. No one owns the feedback loop. No one owns the ethics. No one owns the scale. No one owns the failure modes. So when something breaks or when it scales without oversight, there is no hand on the wheel.Brutal TruthAI does not reward experimentation. It rewards orchestration. We are not talking about a SaaS install. It is an operating model shift (this is the punchline to wrap your head around) – Call it a TINA problem. Unless you restructure your organization to keep pace with the pace and pattern of AI’s evolution, you are not building a competitive advantage. You are creating what the tech industry calls, technical debt.I’m calling it a readiness gap.The symptoms are already appearing everywhere. Data pipelines are bottlenecking innovation. Frontline teams are stuck interpreting dashboards they do not trust. AI recommendations are ignored because they are not connected to real decision flows. The executive suite is playing with ChatGPT while the real leverage dies in committee.You can’t close the readiness gap with more AI tools. You must be thoughtful, intentional, and strategic. And most of all committed!!You need an AI command center. It must be cross-functional. It must cut across silos. It must be culturally embedded. It must own education, integration, and experimentation. This cannot be a shadow IT project. It must be a strategic organ of the business. Most importantly, they must have a voice at the table that carries real responsibility, accountability, and authority.Start with your operating rhythm. If AI decisions are made at the edge without feedback loops into core planning, you’re sprinting blindfolded with both arms tied behind your back. If your data foundation is not layered, labeled, and leveraged across every team, then your thinking is wishful and hopeful. If your frontline is not trained to trust and verify AI outputs, you will hit a stalling point.The next 12 months will define the next 12 years.And this transformation will be won by the early integrators and orchestrators.Runners, take your Mark! https://www.multifamilycollective.com