Lease and rent roll discrepancies remain a persistent source of financial inaccuracy, compliance risk, and operational inefficiency across multifamily portfolios. In a recent survey conducted by SurfaceAl and CRETI, 40% of respondents identified automated tools for discrepancy detection and correction as their top need. Another 40% emphasized the need for technology that could both identify and fix issues without manual intervention. Only 20% pointed to increased staff training. The responses reflect a growing consensus: financial accuracy in property operations is no longer a human-scaling problem, it is a system design problem. This report explores why the next generation of financial controls must be automated, intelligent, and embedded directly into lease and rent roll workflows.