The ACORD 2 Automobile Loss Notice skill extracts data from ACORD first notice of loss (FNOL) forms. The Automobile Loss Notice form is used to report both commercial and personal lines automobile losses.

The ACORD 2 Automobile Loss Notice skill is a preview skill. It has been trained on a small document set and is intended to be used by citizen developers within insurance organisations as a quick-start basis for processing ACORD 2 forms as a part of the claims processing automation workflow. The skill may require further training on your specific documents before it can be used in production.

Automating claims processing with intelligent document processing (IDP) not only reduces costly errors and manual labor, but also improves customer service quality and satisfaction by speeding up response times.

• Vantage document skills are extraction models, based on ABBYY's purpose-built AI, designed and trained to extract key data from business documents.
• Preview document skills provide a quick-start basis for conducting proof of concept and automating document-centric processes, without wasting time to train a new skill from the ground up. In most preview skills the main data fields have been labeled and the skill has been trained on a small document set to provide a starting point for further training on customer side. Preview skills generally come at no additional cost, but consume page volume from the base Vantage Core Skills volume.
• The model automatically detects all fields on the ACORD 2 form and extracts relevant information (agency, name or insured, insured vehicle details, owner and driver details etc.). For a full list of extracted fields, please see the skill documentation.
• Includes validation and data normalization rules. Further business rules can be added as required.
• Can be augmented by human-in-the-loop review and verification based on accuracy thresholds, missing or incorrect information.
• Requires further training in order to ensure sufficient accuracy levels on customer-specific documents. Training can be done up-front or during runtime as documents arrive and go through manual verification.