Use Cases
Commercial Real Estate Lending
MightyBot executes CRE lending workflows. Rent rolls extracted. NOI calculated. Property-type-specific policies enforced. Loans sized. Every number traced to source.
Why MightyBot
MightyBot executes CRE underwriting end-to-end — processing complete deal packages, extracting rent rolls unit-by-unit, normalizing financials, enforcing property-type-specific policies, and sizing loans with every number traced to source. Not AI that assists analysts. AI that finishes the deal.
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.
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.