Covenant
Intelligence
Extract, validate, and monitor covenant obligations across the credit lifecycle.
Key capabilities
What reviewers get
Covenants mapped to their source clause
Thresholds validated against actual performance
Breaches classified by severity
Reporting timelines tracked and aged
Operating principle
AI proposes. Deterministic services calculate. Source documents prove. Humans decide.
How it works
A grounded pipeline that keeps calculation, policy, and human judgment clearly separated.
Ingest source documents
Credit memos, financial statements, and supporting files are parsed into structured data with full source provenance preserved.
Calculate deterministically
A deterministic calculation engine computes figures and comparisons outside the language model, so numbers are reproducible and auditable.
Reason with grounded AI
AI proposes findings only from extracted evidence and the applicable, effective-dated policy — never from unverifiable assumptions.
Route to the reviewer
Every finding arrives with its source citation and severity so a human reviewer can confirm, adjust, or dismiss it — and decide.
An illustrative finding
IllustrativeA fictional example showing how a single issue flows from source data to a reviewer decision. Figures are illustrative only.
Scenario
A loan agreement requires the borrower to maintain a minimum current ratio of 1.25x, tested quarterly.
Extracted data
Covenant clause §5.3.2: minimum current ratio 1.25x. Latest quarter financials attached and tagged.
Deterministic check
Calculation engine computes the current ratio at 1.15x from the reported quarter.
Applicable policy
Applicable loan agreement §5.3.2 governs the covenant threshold and test frequency.
AI finding
AI proposes a covenant breach: 1.15x is below the required 1.25x minimum.
Reviewer action
Reviewer verifies against the cited clause and financials, then routes for waiver or remediation.