Neal Bawa joins Donald Torrence on the Real Deals Real Estate Show to explain how he applies data science and agentic AI to a $436 million real estate portfolio. He shares practical examples of automating underwriting, connecting accounting systems, and turning incoming property opportunities into ranked investment dashboards with human approval points. The conversation also covers why market selection must change with supply conditions and how higher borrowing costs complicate new construction. For tech professionals and passive investors, the episode offers a closer look at how an operator uses technology to analyze more deals and reduce administrative work.
🔑 Key Takeaways
- 📊 Treat multifamily as a business: Focus on employees, operating efficiency, and net operating income.
- 🤖 Start with costly, repetitive work: Identify where automation can save the most time or money.
- 🔍 Expand the analysis: Use AI to investigate more scenarios and compare more opportunities.
- ✅ Keep human approvals: Test workflows against past results and review consequential decisions.
- 📍 Reassess markets: Strong growth can coexist with oversupply and falling rents.
- 🏗️ Check development economics: Financing costs can make new construction difficult to justify.
