AI ACORD Forms Extraction Agent

Automating ACORD Forms Extraction with AI
Intelligent document classification and extraction
The Agent identifies ACORD 125, 126, and 140 forms within broker submissions, then extracts field-level data, tables, and checkboxes with confidence scoring for targeted human review.
Normalization to your canonical schema
Extracted data is mapped to your carrier's internal model or ACORD XML/JSON, standardizing names, addresses, FEIN, NAICS codes, and coverage terms across all submitted forms.
Automated eligibility and triage
Business rules screen submissions against appetite criteria—excluded classes, TIV thresholds, construction types—routing clean submissions to straight-through processing while flagging exceptions for underwriter review.
How Cassidy automates ACORD Forms Extraction using AI
Step 1: Trigger on new submission
The Workflow activates when a broker submission arrives—via email inbox, upload portal, or API—bundling ACORD PDFs, SOVs, loss runs, and supplemental documents into a single package.
Step 2: Classify and prepare documents
Cassidy detects and separates ACORD 125, 126, and 140 forms from other attachments, splitting multi-form PDFs and enhancing scan quality to improve extraction accuracy.
Step 3: Extract ACORD form data
The Agent pulls key fields from each form: applicant information, FEIN, NAICS/SIC, premises addresses, GL exposures and limits, property schedules, and COPE factors—attaching confidence scores and document provenance to each value.
Step 4: Normalize and reconcile
Cassidy maps extracted data to your canonical schema, standardizing addresses, validating identifiers, harmonizing limits and deductibles, and resolving conflicts between forms to create a single source of truth.
Step 5: Validate and enrich
Data quality checks confirm required fields, format validity, and cross-field logic. External enrichment adds geocoding, protection-class lookups, and NAICS validation where needed.
Step 6: Apply eligibility rules
Appetite and eligibility screens evaluate the submission against your underwriting criteria. Submissions meeting thresholds flow to rating; exceptions route to an intake queue with rule traces and suggested actions.
Step 7: Deliver structured output
Cassidy passes ACORD-normalized JSON/XML payloads to your Policy Admin system, prefilling quote screens and logging processing metrics, STP rates, and turnaround times for full auditability.
Implement it inside your company
- Hands-on onboarding and support
- Self-paced training for your team
- Dedicated implementation experts
- Ongoing use case discovery
- ROI tracking & analytics dashboards
- Proven playbooks to get started fast

