AI insurance document ingestion uses technologies like Optical Data Extraction and NLP to read, classify and extract key information from documents automatically. In Durell, this process is enhanced by OpenDialog’s decisioning layer, ensuring accuracy with human confirmation where needed. 

OpenDialog provides the AI engine and decision framework that routes extracted fields for human review when confidence is low. This ensures data quality remains high while reducing manual rekeying and audit risk. 

Proposal Forms, Statements of Fact, Schedules, TOBAs and supporting documents such as emails and PDF attachments can all be processed automatically, turning static files into structured data. 

Yes. Each extraction includes a confidence score, and users must confirm or amend fields before the data is committed. This keeps humans in control of the final outcome while providing a full audit trail that supports governance and regulatory oversight. 

No. It removes repetitive typing and cross-checking so staff can focus on higher-value tasks such as renewals, new business and client service. In one example, admin staff were redeployed to revenue-generating activities after automation. 

AI automation dramatically reduces processing time, improves data consistency and strengthens compliance. By combining Durell’s industry experience with OpenDialog’s AI, firms can handle far more documents with greater accuracy and transparency.