Document AI · Universal Documents

AI Loan Agreement Extraction & Data Extraction

Uptiq's Document AI extracts key terms from loan agreements — rate, maturity, covenant thresholds, and repayment structure — into structured data your servicing and monitoring systems can act on.

95%+
Extraction accuracy
3x
Application throughput
100+
Native integrations

Trusted by financial institutions across banking, lending & credit

Financial InstitutionsCommunity BanksCredit UnionsCommercial LendersNon-Bank Lenders

What is a Loan Agreement?

A loan agreement is the binding contract that sets the terms of a credit facility — principal, rate, covenants, repayment schedule, and default provisions — signed at closing.

Uptiq's Document AI extracts key terms from loan agreements — rate, maturity, covenant thresholds, and repayment structure — into structured data your servicing and monitoring systems can act on.

Covenant language varies widely in structure and wording across agreements

Intake / ApplicationUnderwritingClosing / DocumentationServicing / Monitoring
Covenant language varies widely in structure and wording across agreements
Amendments and side letters modify original terms and need to be reconciled
Multiple defined terms cross-reference each other throughout a long document
Interest rate structures (fixed, floating, step-up) require different extraction logic
Manual abstraction of a 40+ page agreement is slow and error-prone

AI agents built for loan agreement processing

Uptiq's Document AI extracts key terms from loan agreements — rate, maturity, covenant thresholds, and repayment structure — into structured data your servicing and monitoring systems can act on.

1
Classification
Loan Agreement 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
Validation & structuring
Extracted fields are validated and structured for downstream use.
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 loan agreement data — measured across production deployments.

41%
Faster underwriting cycle time
95%+
Extraction accuracy
100+
Native integrations
5 days
To first production deployment

Fields Uptiq extracts from a Loan Agreement

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

FieldExample
Principal Amount$2,500,000
Interest RateSOFR + 275bps
Maturity Date2031-06-30
Amortization25 years
Financial CovenantsDSCR ≥ 1.25x
Governing LawDelaware
Prepayment TermsYield maintenance
Sample structured output
{
  "principal_amount": "$2,500,000",
  "interest_rate": "SOFR + 275bps",
  "maturity_date": "2031-06-30",
  "amortization": "25 years",
  "financial_covenants": "DSCR ≥ 1.25x",
  "governing_law": "Delaware"
}

What changes when this runs automatically

Loan Agreement Extraction, Not Just Storage

Uptiq's Document AI extracts key terms from loan agreements — rate, maturity, covenant thresholds, and repayment structure — into structured data your servicing and monitoring systems can act on.

Handles the Real-World Complexity

Covenant language varies widely in structure and wording across agreements

Consistent, Structured Output

Multiple defined terms cross-reference each other throughout a long document

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 loan agreement volume with your existing team as application volume grows.

Results from 150+ financial institutions in production

41%
Faster underwriting cycle time
95%+
Extraction accuracy
100+
Native integrations
5 days
To first production deployment

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

From loan agreement receipt to structured output

Loan Agreement arrives at intake

The loan agreement 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.

Data is validated and structured

Extracted fields are validated and structured for downstream use.

Delivery into your LOS

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

What teams ask before they start

Loan Agreement AI is Uptiq's Document AI capability for classifying and extracting loan agreement 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. Covenant thresholds (DSCR, leverage ratios, minimum liquidity) are extracted as structured data your monitoring workflow can track against.
Yes. Amendments are classified and their modified terms are reconciled against the original agreement's extracted terms.
Yes. Extracted covenant terms flow into Uptiq's continuous monitoring workflow so breaches are flagged automatically as new financials arrive.
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 Loan Agreement AI in Action

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

Loan Agreement AI, done right.

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