Deal Underwriting Model Build for Commercial Property Managers with VTS

VTS Commercial Property Manager Office / Retail Property Management

The Problem

Every new Office / Retail Property Management deal starts with an 80-tab underwriting model that the analyst rebuilds from market comps in Yardi Voyager and rent rolls.

What We Build in VTS

AI pulls comps, normalizes the rent roll, builds the model from the firm's template, and stress-tests the sensitivities — analyst starts at judgment, not formatting. Purpose-built for teams running VTS — uses the native API or agent integration so nothing leaves the system of record.

VTS Integration Approach

1

Audit your VTS configuration

We map the specific VTS objects, custom fields, and workflows the automation needs to touch for your office / retail property management practice.

2

Build on the VTS API or agent

Integration happens inside VTS — no data leaves the system, no parallel tool for your team to learn, no license changes.

3

Human-in-the-loop handoff

Every automation routes exceptions back to a human in VTS with enough context to act — AI handles the 80%, your team owns the judgment calls.

See this running in your VTS instance

30-minute call. We'll look at your actual VTS setup and show exactly how this workflow fits.

More About This Workflow

Deal Underwriting Model Build for Commercial Property Managers

AI pulls comps, normalizes the rent roll, builds the model from the firm's template, and stress-tests the sensitivities — analyst starts at judgment, not formatting.

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