As AI-powered solutions continue to proliferate in the multifamily housing industry, operators are recognizing the limiting factor in their AI strategies: disconnected data. While multifamily does not lack for actionable metrics, the traditionally siloed structure of pricing, leasing, budgeting and maintenance systems effectively fragments property data and curtails impactful AI-enabled decision-making.
The situation stems from multifamily’s purchasing practices. Operators often seek out and implement technology to address a specific pain point in operations, buying a point solution to alleviate the problem. These disconnected systems make it very hard to create the cleansed and governed data structure necessary for good AI implementations. Even inside the property management system, data is siloed by function. Without access to those relational dynamics, agentic AI can’t generate impactful insights or accurately steer operations.
Essentially, the industry gets exactly what it is buying. Complaints about data fragmentation and jumbled proptech are common, but operators who keep scratching itches with point solutions naturally get these disconnected tech stacks. Without a strategic plan to account for connectivity, the result is going to be fragmented data that AI struggles to work with.
Read Donald Davidoff’s article in Propmodo.