Document AI · Commercial Lending

AI Engineering Report Extraction & Financial Analysis

Uptiq's Document AI reads property condition assessments and equipment inspections and extracts system-by-system condition ratings, remaining useful life, immediate repair costs, the recommended replacement reserve, and equipment hours and residual value — structured into the credit file and the closing conditions checklist.

95%+
Extraction accuracy
41%
Faster underwriting cycle time
100+
Native integrations

Trusted by financial institutions across banking, lending & credit

CRE LendersEquipment Finance LendersCommunity BanksCredit UnionsCommercial Lenders

What is a Engineering Report?

An engineering report is a third-party inspection of a property's building systems or of a financed piece of equipment, documenting current condition, remaining useful life, and the repairs a lender must fund or reserve for before closing.

Uptiq's Document AI reads property condition assessments and equipment inspections and extracts system-by-system condition ratings, remaining useful life, immediate repair costs, the recommended replacement reserve, and equipment hours and residual value — structured into the credit file and the closing conditions checklist.

Immediate repair costs are itemized across a dozen system tables that someone has to total before anything can be escrowed

Intake / ApplicationUnderwritingClosing / DocumentationServicing / Monitoring
Immediate repair costs are itemized across a dozen system tables that someone has to total before anything can be escrowed
Replacement reserve recommendations are quoted per unit per year or per square foot and must be converted before they reach the cash flow model
Remaining useful life is reported per system — roof, HVAC, elevators, parking deck — with no single figure for the asset
Equipment inspections rate condition against hours or mileage, and the same machine reads very differently at 4,000 hours than at 12,000
Condition ratings follow each engineering firm's own scale — 1 to 5, good/fair/poor, or a letter grade — so two reports will not compare side by side

AI agents built for engineering report processing

Uptiq's Document AI reads property condition assessments and equipment inspections and extracts system-by-system condition ratings, remaining useful life, immediate repair costs, the recommended replacement reserve, and equipment hours and residual value — structured into the credit file and the closing conditions checklist.

1
Classification
Engineering Report documents are classified and matched to the correct extraction schema automatically.
2
95%+ accuracy extraction
Every field is extracted with full data lineage back to the source page.
3
Automatic ratio & metric calculation
Key financial metrics are calculated automatically from the extracted figures.
4
Delivery into your LOS
Structured output flows into your existing LOS — 100+ native integrations, no rip-and-replace.

The result: your team spends time on judgment calls, not re-keying engineering report data — measured across production deployments.

36%
Less spreading & extraction time
41%
Faster underwriting cycle time
95%+
Extraction accuracy
5 days
To first production deployment

Fields Uptiq extracts from a Engineering Report

A sample of the structured fields Uptiq's Document AI captures from this document type.

FieldExample
Immediate Repair Cost$186,400
Replacement Reserve Recommendation$312/unit/year
Roof ConditionFair — 6 years remaining
HVAC Remaining Useful Life8 years
Equipment Hours4,180 hours
Residual Value Estimate$275K at month 60
Structural FindingsNo deficiencies noted
Inspection Date2026-01-22
Sample structured output
{
  "immediate_repair_cost": "$186,400",
  "replacement_reserve_recommendation": "$312/unit/year",
  "roof_condition": "Fair — 6 years remaining",
  "hvac_remaining_useful_life": "8 years",
  "equipment_hours": "4,180 hours",
  "residual_value_estimate": "$275K at month 60"
}

What changes when this runs automatically

Engineering Report Extraction, Not Just Storage

Uptiq's Document AI reads property condition assessments and equipment inspections and extracts system-by-system condition ratings, remaining useful life, immediate repair costs, the recommended replacement reserve, and equipment hours and residual value — structured into the credit file and the closing conditions checklist.

Handles the Real-World Complexity

Immediate repair costs are itemized across a dozen system tables that someone has to total before anything can be escrowed

Consistent, Structured Output

Remaining useful life is reported per system — roof, HVAC, elevators, parking deck — with no single figure for the asset

95%+ Accuracy, Full Audit Trail

Every extracted field traces back to its source page — examiner-ready documentation, every time.

Integrates with Your LOS

100+ native integrations across loan origination systems, cores, and workflows. No new infrastructure.

Scales Without Adding Headcount

Process more engineering report volume with your existing team as application volume grows.

Results from 150+ financial institutions in production

36%
Less spreading & extraction time
41%
Faster underwriting cycle time
95%+
Extraction accuracy
5 days
To first production deployment

Results represent aggregate outcomes across production deployments. Individual results may vary.

From engineering report receipt to structured output

Engineering Report arrives at intake

The engineering report arrives via email, portal, or upload. AI classifies it automatically.

AI extracts key fields

Fields are extracted at 95%+ accuracy with full data lineage back to the source page.

AI calculates key metrics

Derived metrics and ratios are calculated automatically from extracted figures.

Delivery into your LOS

Structured, extracted data lands in your existing loan origination or servicing system.

What teams ask before they start

Engineering Report AI is Uptiq's Document AI capability for classifying and extracting engineering report documents, turning them into structured, underwriting-ready data instead of a PDF to read manually.
Uptiq's Document AI is certified to 95%+ extraction accuracy by a Knowledge Team of former underwriters, bankers, and analysts, with every extracted field tracing back to its source page for audit purposes.
Yes. Immediate repairs are extracted line by line with system, cost, and priority, then totaled, so the figure that funds a repair escrow comes straight from the report rather than from an analyst adding up a dozen tables.
Yes. The recommended reserve is extracted with its stated basis — per unit per year, per square foot, or an annual total — so it can be normalized and flowed into the cash flow model. The reserve your policy ultimately requires stays your decision.
Yes. For equipment finance, Uptiq extracts condition, hours or mileage, remaining useful life, and any stated residual value estimate, supporting collateral valuation on used-equipment deals. It reads the inspector's report; it does not perform the inspection or appraise the asset.
Yes. Uptiq connects to 100+ integrations across loan origination systems, core banking platforms, and underwriting workflows — the agent layer sits above your existing stack with no rip-and-replace required.

See Engineering Report AI in Action

Book a 30-minute session. We'll run a live extraction demo on your own engineering report documents.

Engineering Report AI, done right.

150+ financial institutions run Uptiq's AI agents to process financial documents and accelerate underwriting.