Executive Summary: Every equipment finance operation wrestles with the same bottleneck: converting financial statements from PDF into spreadable data. AI-powered document extraction promises to compress hours of manual work into minutes. The reality is more nuanced—accuracy varies dramatically by document type, human review remains essential for edge cases, and implementation timelines consistently exceed initial projections. This article provides the practical roadmap based on implementations across equipment finance operations, including the failure modes that derailed early attempts and the workflow designs that eventually succeeded.

The Problem Worth Solving