Intelligent ACORD Form Automation

Beyond Basic OCR: Contextual Understanding

Standard Optical Character Recognition (OCR) tools fail when dealing with real-world ACORD forms. They struggle with skewed scans, handwritten notes, checked boxes, and data that spills outside the designated fields.

Cazimir utilizes multimodal AI to understand ACORD forms contextually.

• Handles Any Quality: Our platform accurately extracts data from poor-quality scans, rotated documents, and forms with handwritten annotations.
• Recognizes Checkboxes: Accurately interprets checked boxes and multi-select fields, converting them into structured boolean data.
• Identifies Missing Data: Automatically flags missing mandatory fields (like missing signatures or incomplete coverage limits) before the underwriter reviews the file.

Cross-Document Validation

An ACORD form rarely arrives alone. It is usually part of a larger submission package containing loss runs, SOVs, and supplemental applications.

Cazimir doesn’t just extract data from the ACORD form in isolation. Our platform automatically cross-references the extracted ACORD data against the rest of the submission package, instantly flagging discrepancies—such as a mismatched address between the ACORD 125 and the property schedule.

Evidence-First Extraction for Compliance

Every data point extracted by Cazimir is evidence-linked. When reviewing the structured output, your team can click any field to see the exact location on the original ACORD form where that data was found.

This 100% traceability eliminates the risk of AI hallucinations and ensures complete auditability for regulatory compliance and capacity partner reviews.