Lease Administration
Lease Data Quality Scoring
Assigns a confidence score to every lease based on data completeness and consistency. Know which abstracts can be trusted for financial reporting and which need remediation.
What it does
- Assigns a 0–100 confidence score to each lease abstract
- Identifies missing critical fields across the portfolio
- Flags data inconsistencies between lease abstract and source document
- Detects duplicate or conflicting lease records in your LAMS
- Prioritizes remediation by financial materiality and risk
- Generates a data health dashboard across the full lease portfolio
- Tracks data quality improvements over time and across teams
- Validates data integrity before ASC 842 audit cycles
What it takes
- Lease Abstract Export
- LAMS Data Export (Lucernex, MRI, Yardi)
- Original Lease Agreement
- Portfolio Rent Roll
- Commencement Certificate
What it returns
- Excel Table
- PDF Report
- JSON Data
- Remediation Workplan
Written into the systems your team already runs, not into a second system of record.
How teams run it
Portfolio Quality Score
Score every lease in the portfolio on data completeness and reliability.
Missing Field Detection
Identify which critical fields are absent across all lease abstracts.
Inconsistency Audit
Flag conflicts between abstract data and original lease documents.
Remediation Priority Report
Generate a ranked list of leases requiring data cleanup, by financial risk.
Cited, or flagged
Every value is anchored to the clause it came from. Where one is missing, Surfaice says so rather than inventing it.
Read where it lives
Documents are processed for the request and not retained afterwards. Nothing is copied into a second system of record.
Never trained on
Your documents do not train models — yours or anyone else's.
More in Lease Administration
See it run on your own documents.
Fifteen minutes, your files, and the clause behind every answer.