Use Cases
Commercial
Real Estate Lending Automation
MightyBot executes CRE lending workflows. Rent rolls extracted. NOI calculated. Property-type-specific policies enforced. Loans sized. Every number traced to source.
Why MightyBot
Commercial real estate lending automation with MightyBot processes complete deal packages, extracts rent rolls unit-by-unit, normalizes financials, enforces property-type-specific policies, and sizes loans with every number traced to source. Not AI that assists analysts. AI that finishes the deal.
Agents ingest rent rolls, operating statements, appraisals, environmental reports, and borrower documents; normalize property financials; enforce asset-class-specific policy; size loans; and produce an audit trail that ties every extracted number and decision back to source evidence.
The Problem
A single CRE deal: dozens of documents, multiple property types, and analytical
frameworks that vary by asset class. Analysts extract rent rolls manually, normalize
operating statements, apply different cap rate methodologies, and re-check every
calculation before committee.
Multi-property portfolio loans multiply every step. Format chaos — Yardi exports,
hand-typed PDFs, Excel models — means no two packages look the same. Judgment
call or policy gap, the inconsistency accumulates.
Document volume
Dozens of document types per deal, multiplied by property count
Property-type variation
Multifamily, office, retail, industrial each need distinct criteria
Analytical complexity
NOI normalization, cap rate analysis, loan sizing constraints
Format chaos
Rent rolls from Yardi, hand-typed PDFs, and Excel all look different
Portfolio scale
Multi-property deals multiply every step
How MightyBot Executes It
Every document processed.
Every policy enforced.
Full CRE Package Processing
Ingestion & ClassificationEntire package ingested simultaneously. Rent rolls extracted unit-by-unit. Operating statements with line-item detail. Appraisals and environmental reports classified and extracted. FRS maps all fields to a consistent schema.
Property-Level Financial Analysis
Financial AnalysisEGI calculated with vacancy and concession adjustments. Expenses normalized. NOI computed with line-item attribution. Evidence pointers to source values.
Property-Type-Specific Policy Enforcement
Policy EnforcementMultifamily: occupancy trends, unit mix, rent-to-income. Office: tenant credit, lease rollover, WALT. Retail: anchor exposure, co-tenancy, sales-per-square-foot. Industrial: clear height, loading, tenant concentration. All authored in plain English. All evaluated deterministically.
Loan Sizing and Portfolio Analysis
Loan SizingLoans sized using DSCR, LTV, and debt yield — most restrictive as binding constraint. Portfolio reporting generated from structured data.
"We automated what no one else could."
CRE underwriting combines maximum document complexity with property-type-specific analytical depth. Read from anywhere. Write back everywhere.
Before vs After
CRE underwriting. Every document processed. Every policy enforced. Every number traced.
Use-case map
How Commercial Real Estate Lending Automation works in MightyBot
MightyBot automates commercial real estate lending workflows by extracting rent rolls, normalizing NOI, enforcing property-specific policies, and sizing loans with source evidence.
| Inputs | Rent rolls, operating statements, appraisals, borrower financials, environmental reports, leases, and property-type policies. |
|---|---|
| Execution | Processes deal packages, extracts rent rolls, normalizes operating statements, applies asset-class policies, and calculates NOI and loan sizing. |
| Outputs | CRE underwriting outputs, loan-sizing support, exception summaries, portfolio context, and source-backed credit analysis. |
| Audit trail | Every property metric, adjustment, and sizing decision traces to source documents and policy logic. |
| Best for | Lenders handling multi-property CRE packages, inconsistent rent roll formats, and asset-class-specific underwriting rules. |
FAQ
Frequently Asked Questions
Can MightyBot handle different property types?
Yes. Multifamily, office, retail, industrial, hospitality, and mixed-use deals can each evaluate against their own policy stack automatically.
How does MightyBot extract rent rolls from different formats?
PDF exports, Excel, scans, and manually prepared listings can all be processed through the same canonicalization layer so the output schema remains consistent.
Can MightyBot analyze multi-property portfolio loans?
Yes. Each property can be analyzed individually and then aggregated at the portfolio level for diversification, concentration, and cross-collateral review.
How does MightyBot handle operating statement normalization?
Line items are mapped to canonical categories, then normalized according to your policies for non-recurring items, management fees, and capex treatment.
Does MightyBot review environmental reports?
Yes. Phase I and Phase II findings such as RECs, CRECs, and HRECs can be extracted and evaluated against your risk thresholds.
Can MightyBot evaluate tenant credit quality?
Yes. Tenant data from rent rolls and lease abstracts can feed rollover schedules, WALT analysis, and concentration reporting.