Sheetlift

Small property operators often delay adopting software because years of tenants, leases, balances, deposits and maintenance history live in inconsistent spreadsheets. Sheetlift profiles a source workbook, proposes normalized entities and mappings, routes ambiguity to an operator, validates a staged dataset, imports through a verified target path and reads destination records back. The supplied research confirms adjacent bulk import, assisted platform migration and rent-roll standardization products, one of two referenced capabilities, but no standalone spreadsheet-to-property-software migration service. Generated mappings cannot prove nothing was lost. A reconciliation report states source scope, parsed rows, accepted mappings, excluded fields, exceptions, import acknowledgement and destination readback; it never asserts complete semantic equivalence without owner acceptance. Source snapshot, row parse, entity match, mapping candidate, operator correction, validation, import approval, provider acknowledgement, destination readback, financial reconciliation, cutover and rollback remain separate. Sensitive tenant, lease and payment data requires minimization, encryption, purpose limitation and deletion after handoff. Success is a faster, reconstructable migration with bounded unknowns—not perfect AI extraction, clean source data or a risk-free cutover.

A small property operator, onboarding agency or property-software vendor whose adoption is blocked by a messy spreadsheet rent roll.