AI Agent for Data Extraction | Lease Abstraction Case Study

Andrea Ercolessi

Client's Goal: A Senior Financial Analyst at CBRE, needed a way to quickly extract critical terms—termination rights, rent escalations, renewal options—from hundreds of lengthy, inconsistent commercial lease PDFs. His team relied on manual data entry, which was slow, error-prone, and costly, making underwriting and reporting a headache.
Challenges:
100+ leases/month, each 50+ pages, all formatted differently
20+ hours/week lost to manual entry, with frequent costly errors
Off-the-shelf tools failed: couldn’t handle varied formats or deliver the accuracy needed
External hires didn’t solve accuracy or speed issues
Solution & Approach: I delivered a fully automated lease abstraction AI agent, tailored to CBRE’s process. The system ingests bulk lease PDFs, extracts all key clauses, and outputs clean, structured spreadsheets for underwriting, risk tracking, and reporting. I configured custom extraction logic and prompt engineering to handle CBRE’s unique lease formats and clause requirements, ensuring near-perfect accuracy. After a single hour of calibration, the agent was running in production—no ongoing manual setup or data wrangling required.
Key Features:
Bulk Lease Processing: Handles up to 100+ commercial leases/month, each 50+ pages, with no format restrictions
Direct Upload: Accepts PDFs (native/scanned), Word, and images via local or cloud (Google Drive, Dropbox, Box)
Custom Extraction Logic: Identifies and pulls all critical terms: termination, rent escalations, renewal, key dates, financials, and custom clauses
Structured Spreadsheets: Outputs ready-to-use Excel, CSV, or Google Sheets for instant review, comparison, and reporting
Accuracy & QA: Delivers up to 99.5–100% accuracy; built-in QA links extracted data to original document context for audit and compliance
Integration Ready: Data can be exported or integrated into property management/accounting systems via API or Make
No Data Retention: No lease data is stored after processing, supporting strict confidentiality
Compliance Support: Outputs are audit-ready for ASC 842/IFRS 16 standards
Results:
20+ hours/week saved: No more manual entry
88–100% reduction in errors: Outputs trusted for financial/legal decisions
85% increase in capacity: Team focuses on analysis, not data wrangling
Consistent throughput: 100+ leases/month processed automatically
Immediate ROI: No new hires needed, system operational in 1 hour
Here's how his team summed it up:
“We’re processing 100 leases monthly with complete accuracy—something we couldn’t do manually or with other tools. We saved money and eliminated hiring needs.”
Ready to automate your document-heavy workflows? Let’s turn your repetitive, high-risk manual work into a reliable, fully-automated pipeline—freeing your team for higher-value analysis.
139 Pages of data to extract? No problem.
139 Pages of data to extract? No problem.
Data Extraction Dashboard. Job completed in under 1 minute.
Data Extraction Dashboard. Job completed in under 1 minute.
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Posted Aug 24, 2025

Developed an AI agent for CBRE to automate lease abstraction, saving time and reducing errors. It extract data from a 150 pages PDF in under one minute.

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