Why AI-rollups must force standardization to succeed where traditional buy-and-build fails
“And you cannot do that while preserving the variety of different operational practices and having a very versatile product supporting these different ways of work.”
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That's amazing question. That's exactly the latter. And I think that's exactly where the difference between your typical kind of buy and build and what we're doing is coming up. Because, our vision is effectively with the use of technology and AI is to streamline the entire lighting life cycle from finding a tenant to collecting rent to property management to enhance the user experience. And you cannot do that while preserving the variety of different operational practices and having a very versatile product supporting these different ways of work. You can achieve it only by choosing one way of work and then effectively, in a way, pushing or suggesting everyone to adopt this way of work because you want data has proven that this way of work is better than a variety of other ways of work that exist out there. And, important to note is that this is not that you defined it and that's it and it sets the stone, but it's effectively a continuous feedback loop where you test it versus reality. You buy another agency. You look at some operational process they're doing there and actually figure out that some things they invented to be doing there are smarter or more efficient or something. And then you go back and revisit your target operating model and your product supporting that for all the agents that you already bought and fully integrated Apple sim now. Valley is effectively
About this clip
Dan Lifshits explains why Dwelly's AI-rollup approach differs fundamentally from traditional buy-and-build strategies. He argues that streamlining the entire property management lifecycle with AI requires standardizing operations rather than preserving each acquired company's unique practices.
Why this clip
This challenges the conventional buy-and-build wisdom by arguing that AI effectiveness requires operational uniformity rather than preserving acquisition diversity.
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