Document AI · Commercial Lending

AI Fixed Assets Schedule Extraction & Financial Analysis

Uptiq's Document AI extracts asset descriptions, serial or tag numbers, acquisition dates and cost, depreciation method and useful life, accumulated depreciation, and net book value, then feeds the register into your collateral schedule and spreading template.

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

Trusted by financial institutions across banking, lending & credit

Equipment Finance LendersC&I LendersCommunity BanksCredit UnionsCommercial Lenders

What is a Fixed Assets Schedule?

A fixed assets schedule is the borrower's asset register — each item of property and equipment with its acquisition date, original cost, accumulated depreciation, and net book value — used to size collateral and verify what secures an equipment facility.

Uptiq's Document AI extracts asset descriptions, serial or tag numbers, acquisition dates and cost, depreciation method and useful life, accumulated depreciation, and net book value, then feeds the register into your collateral schedule and spreading template.

Net book value on a fully depreciated machine says nothing about what the asset would bring at auction

Intake / ApplicationUnderwritingClosing / DocumentationServicing / Monitoring
Net book value on a fully depreciated machine says nothing about what the asset would bring at auction
Asset descriptions are free text — CNC mill one year, Haas VF-2SS #4471 the next — so year-over-year matching breaks
Disposals and trade-ins drop off the register with no offsetting note, leaving phantom collateral in the credit file
Straight-line, MACRS, and Section 179 treatments sit side by side in one schedule with different useful lives
Leased and vendor-financed equipment is listed alongside owned assets that another lender already has a lien on

AI agents built for fixed assets schedule processing

Uptiq's Document AI extracts asset descriptions, serial or tag numbers, acquisition dates and cost, depreciation method and useful life, accumulated depreciation, and net book value, then feeds the register into your collateral schedule and spreading template.

1
Classification
Fixed Assets Schedule 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 fixed assets schedule 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 Fixed Assets Schedule

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

FieldExample
Asset DescriptionHaas VF-2SS CNC mill
Acquisition Cost$186,400
Acquisition Date2022-08-11
Accumulated Depreciation$97,300
Net Book Value$89,100
Depreciation MethodStraight-line, 7 years
Serial / Tag NumberSN-1147829
Disposals in Period2 assets, $41,500 cost
Sample structured output
{
  "asset_description": "Haas VF-2SS CNC mill",
  "acquisition_cost": "$186,400",
  "acquisition_date": "2022-08-11",
  "accumulated_depreciation": "$97,300",
  "net_book_value": "$89,100",
  "depreciation_method": "Straight-line, 7 years"
}

What changes when this runs automatically

Fixed Assets Schedule Extraction, Not Just Storage

Uptiq's Document AI extracts asset descriptions, serial or tag numbers, acquisition dates and cost, depreciation method and useful life, accumulated depreciation, and net book value, then feeds the register into your collateral schedule and spreading template.

Handles the Real-World Complexity

Net book value on a fully depreciated machine says nothing about what the asset would bring at auction

Consistent, Structured Output

Disposals and trade-ins drop off the register with no offsetting note, leaving phantom collateral in the credit file

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 fixed assets schedule 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 fixed assets schedule receipt to structured output

Fixed Assets Schedule arrives at intake

The fixed assets schedule 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

Fixed Assets Schedule AI is Uptiq's Document AI capability for classifying and extracting fixed assets schedule 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. Line items are extracted and rolled up by category — machinery, vehicles, leasehold improvements — with cost, accumulated depreciation, and net book value totals per group, ready to drop into the collateral schedule your credit memo references.
Yes. Consecutive schedules are compared line by line, and additions, disposals, and fully depreciated assets are flagged, so collateral that has left the business is caught during annual review rather than at liquidation on a defaulted facility.
Yes, whenever the schedule states them. Serial, VIN, and asset tag numbers are extracted per line so specific-collateral UCC descriptions can be drafted from the register instead of retyped. Uptiq does not prepare or file the UCC-1 itself.
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.

Explore related document types

See Fixed Assets Schedule AI in Action

Book a 30-minute session. We'll run a live extraction demo on your own fixed assets schedule documents.

Fixed Assets Schedule AI, done right.

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