While data scientists and engineers effectively describe AI’s technical capabilities, the message often gets lost on the very people who want it most: the end users who will interact with it daily. As someone who bridges the gap between engineers and the business – and isn’t afraid to make a near-term prediction – here is an example of what a routine exchange between an AI Agent and an Asset Manager could look like in the very near future.
While data scientists and engineers effectively describe AI’s technical capabilities, the message often gets lost on the very people who want it most: the end users who will interact with it daily. As someone who bridges the gap between engineers and the business – and isn’t afraid to make a near-term prediction – here is an example of what a routine exchange between an AI Agent and an Asset Manager could look like in the very near future.
The AI Agent Marketplace is a curated library of Work Packages – coordinated teams of AI agents engineered to deliver specific business outcomes in real estate.
In an industry where over $23 billion is invested annually, according to Blueprint, the stakes are high for real estate professionals.
Microsoft, in partnership with OpenAI, is leading the charge, and the real estate industry is primed for AI adoption through the Microsoft Fabric, Co-Pilot, and beyond. But as we all know, garbage in, garbage out. The effectiveness of any AI system is only as good as the data it’s fed.
