Facility Type Extraction Agent

Purpose

Facility Type Extraction Agent identifies and classifies commitment types in loan documentation as either term loans or revolvers, creating a structured basis for downstream loan analysis.

Primary users

The primary users are internal Sia employees working with Commercial Banking and GenAI use cases involving loan documentation review and analysis.

Where it fits (process/stage/trigger)

This agent fits at the loan documentation processing stage, when a PDF loan document needs to be reviewed and transformed into structured information before downstream loan analysis.

Key capabilities / workflow

The agent analyzes loan documentation in PDF form, extracts key loan-related information, identifies commitment types, classifies them as term loans or revolvers, validates whether the structured summary is complete, and delivers the resulting machine-readable dataset.

Inputs

Typical inputs include loan documentation in the form of a PDF, with possible datasets including historical loan documents such as credit agreements, schedules, and amendments, manually verified extraction outputs for benchmarking, and curated test sets representing diverse loan structures.

Outputs / Deliverables

The agent produces a structured, machine-readable summary of key loan terms, commitments, roles, dates, benchmarks, and borrower details, which serves as the foundational dataset for downstream loan analysis.

Value

The agent helps convert unstructured loan documentation into structured data, supporting more consistent identification of facility types and enabling downstream loan analysis based on extracted and classified loan information.