CleanRoll AI

Key Features

• •Multi-format Upload: Upload rent rolls and T12s in Excel, CSV, or PDF formats from any property management system. This eliminates the need to manually convert or reformat files, allowing you to process documents from Yardi, AppFolio, RealPage, MRI, and more directly.
• •AI Column Mapping: Automatically detects and standardizes columns from any rent roll or T12 format with 95%+ accuracy. The AI identifies headers like 'Unit #', 'Mo. Rent', 'Tenant Name' and maps them to a unified schema, even with inconsistent formatting. This saves hours of manual data cleaning.
• •T12 Parsing: Parses T12 operating statements into 18 income categories and 27 expense categories using AI categorization. This provides a granular view of property financials, enabling accurate cash flow analysis and comparison against scheduled rent from the rent roll.
• •Rent Roll Comparison: Produces a side-by-side diff of two rent rolls, highlighting added, removed, and modified units. This is invaluable for tracking portfolio changes over time, such as tenant turnover or rent adjustments, without manually scanning rows.
• •T12 Reconciliation: Compares scheduled rent from the rent roll to actual collections from the T12, instantly identifying delinquencies and discrepancies. This helps ensure reported income is accurate and flags potential issues before underwriting.
• •Anomaly Detection: Flags missing data, outliers, and suspicious values in rent rolls and T12s. For example, unusually low or high rents, blank fields, or inconsistent measurements are highlighted, preventing errors from affecting your analysis.
• •Loss-to-Lease Analysis: Compares in-place rents to market rates and quantifies the potential upside from renewal. This feature helps investors identify units with below-market rents and prioritize leasing strategies to maximize revenue.
• •Tenant Concentration: Provides AI-powered tenant classification with HHI scoring, showing the concentration of tenants by industry or size. This risk metric is critical for assessing portfolio diversification and potential vacancy shocks.

Use Cases

• •Monthly rent roll comparison: An investor compares two consecutive months' rent rolls to see which units changed tenants, had rent adjustments, or became vacant. Outcome: quick identification of portfolio changes and actionable insights for lease management.
• •T12 reconciliation for underwriting: An underwriter reconciles a property's T12 against its rent roll to verify that reported income matches actual collections. Outcome: accurate NOI calculation and confidence in deal valuation.
• •Portfolio aggregation from multiple PMS: A property manager aggregates rent rolls from multiple properties using Yardi, AppFolio, and RealPage into one standardized dataset. Outcome: unified view for portfolio reporting and analysis.
• •Loss-to-lease analysis for rent optimization: A financial analyst uses loss-to-lease analysis to identify units with below-market rents and quantify the potential income uplift from renewals. Outcome: data-driven rent increase recommendations and improved property income.
• •Export to underwriting software: A CRE analyst exports standardized data from CleanRoll AI to A.CRE or Tactica RES for rapid deal modeling. Outcome: streamlined workflow, eliminating manual data entry errors.

Who is this for?

Commercial real estate investors, underwriters, property managers, financial analysts, and asset managers who routinely handle rent rolls and T12s from property management systems like Yardi, AppFolio, RealPage, MRI, and Buildium. These professionals need a fast, accurate way to standardize messy data for underwriting, portfolio management, and investment analysis. The tool is particularly valuable for individual investors evaluating multiple deals per month, investment firms with large portfolios, and property management teams seeking to automate data cleaning and reconciliation.