Results

What we've built.
What it changed.

Real systems, real numbers. This is what deployed CRE automation looks like. Not what it promises.

18 min
Deal screening
was 4–6 hrs per deal
3 min
Per lease abstracted
was 2 hrs per lease
45 min
Quarterly LP report
was 12–15 hrs per quarter
100%
On time and on scope
every build delivered
Case Studies

Three deployments. Three different operations.

These are thinly anonymized. The numbers, workflows, and integrations are real.

Case Study  ·  Dallas, TX
Dallas Multifamily Investor
Active Acquisitions Firm · 8-person team
2025

An 8-person team with 2 dedicated acquisitions staff was screening 80–100 inbound OMs per month. Analysts were spending roughly 80% of their time on deals that failed the first filter. By the time strong deals were identified, competitors had already submitted offers. Deal flow wasn't the problem. Speed of triage was.

Automated deal screening system connected to the team's shared inbox.

OM arrives via email
Attachment parsed and structured automatically
Scored against their specific buy-box: asset class, sub-market, cap rate range, unit count, vintage
Kill-or-advance decision generated with written reasoning
Advancing deals only enter the analyst queue
Gmail Google Sheets Internal scoring rubric
Before
6 hrs
avg per deal screened
After
18 min
avg per deal screened
Throughput
first-pass increase
Hours recovered
60
analyst hrs/month

Analysts now work only the deals that pass. The firm is seeing the same deal volume, with a fraction of the triage time. Offers go out faster.

Case Study  ·  Los Angeles, CA
Southern California Property Manager
Commercial PM Firm · 220+ leases
2025

Managing 220+ leases across a mixed-use and retail portfolio. Lease abstraction was handled manually by one person part-time. Expiration dates, option windows, and rent escalation clauses were tracked in a shared spreadsheet that was routinely out of date. Two missed option windows in 2024 cost the firm meaningful revenue.

Automated lease abstraction pipeline connected to their existing document storage.

PDFs uploaded to shared Drive folder
System extracts: key dates, options, escalations, co-tenancy clauses, HVAC responsibilities
Structured into their standard abstract format
Populated into their property management software
Expiration and option alerts set automatically
Google Drive AppFolio Email alerts
Before
2 hrs
per lease manually
After
3 min
per lease automated
Backlog cleared
220
leases in one weekend
Missed options
0
since deployment

New leases are abstracted same-day. The spreadsheet is gone. Option windows fire as calendar alerts 90 days out, automatically.

Case Study  ·  West Coast
CRE Capital Advisor: LP Reporting
Fund of Funds · 14 LPs · 6 assets
2026

Fund-of-funds structure: 14 LP investors, 6 underlying assets across 3 operators. Quarterly LP reporting took 12–15 hours every quarter. Data was pulled manually from three different operator portals, reconciled against accounting, formatted into branded PDF, reviewed, distributed. GP team spending two full days per quarter on a reporting process, every quarter.

Automated LP reporting pipeline running on a quarterly schedule.

Operator portals scraped automatically on schedule
Data reconciled against QuickBooks
Branded quarterly report generated in their template
GP reviews and approves with one click
Distributed to LP list with per-LP personalized views
3 operator portals QuickBooks Resend Google Docs
Before
14 hrs
per quarterly report
After
45 min
review and approve
Delivery
48 hrs
after quarter-end
Errors
0
reconciliation errors

Reports go out within 48 hours of quarter-end instead of 3–4 weeks. Manual reconciliation errors are gone. LPs receive personalized views rather than a single shared document.

Sample Outputs

The output, not the promise.

This is what your team receives on the other side of an automated workflow.

Deal Screening
Deal Screening Report
Property
Mesa Ridge Apartments · Dallas TX · 84 units
Score
100
Cap Rate
5.8%
Time to screen
18 min
Red flags
None
Distress signal
4 active abstracts of judgment · CA-based LP · 10-yr hold
ADVANCE: fits buy-box Confidence 94%
Generated in 18 min
Lease Abstraction
4755 Duncanville Rd: Abstract
Commencement
Jan 1, 2022
Expiration
Dec 31, 2026
Option windows
2
90-day notice each
Escalations
3%
annual, CPI-based
HVAC
Landlord responsibility
Co-tenancy
None
Extraction time
3 min
3 min per lease
LP Reporting
Q1 2026 Investor Report
Assets tracked
6
Investors
14
Portfolio occupancy
94.2%
NOI vs Q4
+3.1%
Generation time
45 min
Sent to all 14 LPs 48 hrs after quarter-end
Generated in 45 min
By use case

What you can expect to get back.

Time savings vary by operation. These are the typical levers for each firm type.

CRE Investor
Faster acquisitions. Fewer wasted analyst hours.
Automated screening and underwriting means your team only touches deals that fit. First-pass triage drops from days to minutes. You submit offers faster than operators running manual processes.
Deal Screening Underwriting Deal Sourcing
CRE Operator
Less admin. Faster LP communication. No scramble.
LP reporting that used to take two days takes 45 minutes. Lease data that lived in spreadsheets lives in your property system. Option windows fire as automated alerts.
Investor Reporting Lease Abstraction Due Diligence
Property Manager
Backlog cleared. Junior staff freed. Zero missed dates.
A portfolio of 200+ leases abstracted in a weekend. New leases processed same-day. Critical dates and option windows trigger automatically. Your team works from structured data, not PDFs.
Lease Abstraction Workflow Automation Investor Reporting
Every result is guaranteed.
If the system doesn't work as scoped, we fix it at no cost. If we can't make it right, you get your money back. In writing, before you commit to anything.
Ready to build?

15 minutes. We scope it on the call.

No prep required. If there's a fit, you'll know the scope and price before you commit to anything.

Satisfaction guaranteed  ·  Fixed price  ·  You own everything