Document AI · Commercial Lending

AI Credit Agreement Extraction & Data Extraction

Uptiq's Document AI extracts the facility amount and type, margin grid, maturity date, financial covenants, reporting covenant due dates, and events of default from an executed credit agreement, and loads them straight into your covenant tracker and servicing system.

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

Trusted by financial institutions across banking, lending & credit

C&I LendersCRE LendersSBA LendersEquipment Finance LendersCommunity Banks

What is a Credit Agreement?

A credit agreement is the executed contract governing a commercial facility — parties, commitment amount, pricing grid, maturity, financial and reporting covenants, collateral, and events of default — and it controls how the loan is monitored after closing.

Uptiq's Document AI extracts the facility amount and type, margin grid, maturity date, financial covenants, reporting covenant due dates, and events of default from an executed credit agreement, and loads them straight into your covenant tracker and servicing system.

Reporting deadlines — financials within 45 days of quarter end, 120 days of fiscal year end — are written in prose and never reach a calendar

Intake / ApplicationUnderwritingClosing / DocumentationServicing / Monitoring
Reporting deadlines — financials within 45 days of quarter end, 120 days of fiscal year end — are written in prose and never reach a calendar
Pricing grids tie the applicable margin to a leverage ratio that has to be recomputed at every test date
Financial covenant definitions carve out non-cash charges and pro forma adjustments in ways that change the calculated ratio
Schedules and exhibits at the back hold the collateral list and permitted liens, separate from the body of the agreement
Multi-borrower, multi-facility agreements assign different covenants to different obligors under one signature page

AI agents built for credit agreement processing

Uptiq's Document AI extracts the facility amount and type, margin grid, maturity date, financial covenants, reporting covenant due dates, and events of default from an executed credit agreement, and loads them straight into your covenant tracker and servicing system.

1
Classification
Credit 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 credit 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 Credit Agreement

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

FieldExample
Facility Amount$12,000,000
Facility TypeRevolving line of credit
Applicable MarginSOFR + 225-300bps grid
Maturity Date2031-09-30
Financial CovenantFixed charge coverage >= 1.20x
Reporting Covenant Due DateQuarterly financials within 45 days
CollateralFirst lien, all business assets
BorrowerRidgeline Manufacturing LLC
Sample structured output
{
  "facility_amount": "$12,000,000",
  "facility_type": "Revolving line of credit",
  "applicable_margin": "SOFR + 225-300bps grid",
  "maturity_date": "2031-09-30",
  "financial_covenant": "Fixed charge coverage >= 1.20x",
  "reporting_covenant_due_date": "Quarterly financials within 45 days"
}

What changes when this runs automatically

Credit Agreement Extraction, Not Just Storage

Uptiq's Document AI extracts the facility amount and type, margin grid, maturity date, financial covenants, reporting covenant due dates, and events of default from an executed credit agreement, and loads them straight into your covenant tracker and servicing system.

Handles the Real-World Complexity

Reporting deadlines — financials within 45 days of quarter end, 120 days of fiscal year end — are written in prose and never reach a calendar

Consistent, Structured Output

Financial covenant definitions carve out non-cash charges and pro forma adjustments in ways that change the calculated ratio

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 credit 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 credit agreement receipt to structured output

Credit Agreement arrives at intake

The credit 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

Credit Agreement AI is Uptiq's Document AI capability for classifying and extracting credit 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. Financial covenants, their test frequency, and every reporting deliverable with its due date are extracted as dated obligations, so the tracker is populated the week of closing rather than rebuilt by hand months later.
Each tier of the grid is extracted with its ratio band and corresponding margin, so servicing can confirm the rate applied at each test date. Uptiq structures the grid and computes the ratio from spread financials; it does not reprice the loan.
Yes. Document AI classifies each document in the closing package — credit agreement, promissory note, security agreement, guaranty — and extracts against the right schema for each, so covenant terms are pulled from the agreement and not from the note.
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 Credit Agreement AI in Action

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

Credit Agreement AI, done right.

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