Improving Accuracy and Speed in Rent-Roll Analysis with AI and Dashboard-Driven Insights

Client Overview

A US-based institutional asset manager specializing in structured credit and real estate–backed assets managed high volumes of rent-rolls across diverse property portfolios. Their teams relied on these files for underwriting, surveillance, and portfolio performance reviews, making accuracy and turnaround time critical for day-to-day decision-making.

Problem Statement

The asset manager’s rent-roll evaluation process was heavily manual and slowed down by several operational hurdles:

• Non-standardized rent-roll formats PDFs, scanned images, and encrypted files made extraction difficult and error-prone.
• Manual data entry and cross-checks consumed hours each day, delaying credit decisions and portfolio reviews.
• Inconsistent analysis increased the risk of misinterpretation and inaccurate performance profiling across assets.

The team needed a streamlined, audit-ready workflow that could support both speed and accuracy at scale.

Solution Provided

To modernize their rent-roll operations, Decimal Point Analytics deployed a hybrid technology-enabled operating model:

1. AI-Driven Intelligent Document Processing (IDP)

Combined automated OCR and ML-based extraction with manual validation to ensure >99% accuracy, even for scanned or encrypted files.

2. Standardized, Analytics-Ready Output

Unstructured rent-roll files were converted into uniform Excel templates, enabling consistent downstream analysis across all asset classes.

3. Real-Time Insights Through Dashboards

Interactive dashboards delivered trend analysis, risk signals, portfolio summaries, and anomaly detection supporting faster and more informed decisions.

This integrated workflow allowed the asset manager to operate with higher confidence and reduced operational load.

Outcome

Decimal Point Analytics enabled the client to move from a slow, manual rent-roll workflow to a fully automated, analytics-ready process. The solution standardized unstructured files, delivered clean datasets within hours, and provided real-time dashboard insights for faster evaluation.
Key operational gains included:

• Processing time reduced from 8 hours to 2 hours

• 100–150 rent-roll files processed daily

• 770,000+ invoices automated, reducing operational costs by ~50%

• Stronger accuracy, improved risk assessment, and streamlined reporting

Key Takeaway

For asset managers handling multi-property portfolios, intelligent automation of rent roll data ensures consistency, reduces operational overhead, and enables real-time visibility crucial for timely investment decisions.

Interested in modernizing your rent roll and document-heavy processes?
Reach out to Decimal Point Analytics to explore bespoke automation solutions designed for the real estate and asset management industry.