Systems and methods for multi-line insurance preparedness, risk detection, and claims management using ai-assisted analysis and automated workflow engines

An insurance policy-and-claim document normalization and event-driven claims readiness automation system comprising:

• a document ingestion interface configured to receive (i) a policy document file and (ii) a plurality of claim-related document files associated with a claim record;
• one or more processors;
• a non-transitory memory storing instructions that, when executed by the one or more processors, cause the insurance policy-and-claim document normalization and event-driven claims readiness automation system to:
• generate, from the policy document file, a canonical coverage data structure comprising a standardized set of coverage fields, including at least a condition field;
• generate an evidence index that maps an entry in the canonical coverage data structure to a corresponding source span in extracted policy text;
• classify each claim-related document file of the plurality of claim-related document files into a corresponding document event type to generate a document event stream;
• generate and maintain, based on (i) the document event stream and (ii) the condition field, a task graph data structure comprising (i) a plurality of task nodes and (ii) a plurality of dependency edges between task nodes;
• maintain a deadline timer data structure comprising a plurality of deadline timers, each deadline timer being associated with a corresponding task node of the plurality of task nodes;
• and
• update the task graph data structure by adding, removing, or re-ranking at least one task node responsive to detecting a change in the document event stream;
• wherein generating and updating the task graph data structure using the document event stream and the condition field provides a technical improvement by automatically controlling task sequencing and timer state across heterogeneous claim-related document files using machine-usable intermediate representations.

An insurance policy-and-claim document normalization and event-driven claims readiness automation system comprising:

• a document ingestion interface configured to receive (i) a policy document file, (ii) an inventory dataset, and (iii) a claim-related document file associated with a claim record;
• one or more processors;
• a non-transitory memory storing instructions that, when executed by the one or more processors, cause the insurance policy-and-claim document normalization and event-driven claims readiness automation system to:
• generate, from the policy document file, a canonical coverage data structure comprising a standardized set of coverage fields including at least a sublimit field and a deductible field;
• generate an evidence index that maps an entry in the canonical coverage data structure to a corresponding source span in extracted policy text;
• generate, from the inventory dataset, an inventory item data structure comprising a plurality of inventory item entries, wherein each inventory item entry includes at least an item category field and an item value field;
• detect, based on the canonical coverage data structure, a missing coverage-relevant field comprising at least one of a property value field, a property attribute field, or a property configuration field;
• initiate, responsive to detecting the missing coverage-relevant field, a first artificial intelligence (AI) web enrichment operation using an AI web retrieval agent to retrieve first supplemental property data comprising at least one of a home size value, a home configuration value, a home construction attribute value, or a home valuation value;
• initiate, after retrieving the first supplemental property data, a second AI web enrichment operation using the AI web retrieval agent to retrieve second supplemental hazard data comprising FEMA flood zone data based on at least one value of the first supplemental property data;
• generate an enriched coverage data structure by inserting at least the first supplemental property data and the second supplemental hazard data into the canonical coverage data structure;
• generate a discrepancy data structure by comparing (i) the sublimit field of the enriched coverage data structure to (ii) the item value field of at least one inventory item entry having a corresponding item category field, wherein the discrepancy data structure includes an evidence citation field that references the evidence index;
• and
• generate, based on the discrepancy data structure, a claim artifact data structure comprising an artifact output field configured to populate a claim-ready document template using at least the discrepancy data structure and the inventory item data structure;
• wherein generating the enriched coverage data structure, the discrepancy data structure, and the claim artifact data structure provides a technical improvement by converting unstructured coverage constraints and inventory inputs, augmented by staged external data enrichment, into a template-ready artifact output with evidence-anchored traceability.