This workflow automates the high-stakes, manual bottleneck of modeling renovation ROI for asset managers. It ingests fragmented data—construction bids from Procore or Sage, unit-level rent rolls from Yardi/RealPage, and market comps from CoStar—to forecast post-renovation rent premiums, occupancy lifts, and exit cap rate compression. The automation quantifies the trade-offs between project scope, budget, and timeline, enabling data-driven capital allocation that protects project IRR and improves portfolio-wide value creation velocity.




