PROPOSED AI APPLICATION

Insurance case entity linker

Related case documents are difficult to connect

Insurance brokeragesHistorical data model pilotProposed solution scope

The problem and the proposed outcome

Application: Insurance brokerages — Insurance case entity linker
Problem to solve: Related case documents are difficult to connect
Target buyer: Brokers, policy service coordinators
Intended use: Employee / expert own workflow; internal business solution
Benefit to test: Test whether relevant records can be connected with less review effort and acceptable linkage errors.
Potential delivery: Internal application, reviewer dashboard, private assistant or authorized user portal; choose one surface after validating the workflow.

AI method: AI-assisted entity linking and graph review
Method code: G
AI contribution: Use learned or semantic entity matching to propose record links, then present an evidence graph for reviewer confirmation.
Output artifact: Candidate entity links and an explorable evidence graph.
Core modules: Authorized records → learned entity matching → candidate graph → reviewer confirmation
Simple baseline: Exact identifier joins, deterministic deduplication and manual linking.
Why test AI: Could help when entity names or formats vary; preserve original records and never treat inferred links as confirmed facts.

Pilot track: Historical data model pilot
Required data: Authorized case records; reviewed entity pairs
Data readiness: Authorized records, reliable source identifiers, lawful linkage rights and reviewer-labelled matching pairs are needed.
First development step: Confirm linkage authority, define matching entities and benchmark exact joins on reviewer-labelled pairs.
Initial MVP scope: One defined task, one permitted dataset and one reviewer workflow. Manual upload or authorized export first; no unattended external action. Validate the model before live integration.
Demo data: Synthetic or licensed public samples may illustrate the workflow. Real benefit and model performance need representative authorized held-out data.
Buyer validation question: Ask Brokers, policy service coordinators: show a recent case where related case documents are difficult to connect, record the present effort or error, and confirm whether the required data can lawfully be used.

Primary success metric: Reviewer-confirmed link accuracy
Model evaluation: Measure link precision/recall, false merges, missed matches and reviewer effort; graph connectivity alone is not evidence of wrongdoing.
Metric target: Set after baseline measurement; no improvement or accuracy result asserted.

Specialist review: No special flag; domain review still applies
Human review boundary: Reviewer or user confirms labels, exceptions, links or shortlist relevance; no automatic adverse or consequential decision.
Domain review: Use lawful authorized evidence and permitted features; qualified staff review substantive decisions, explainability, fairness and applicable rules.
Related micro-ERP catalogue IDs: IWA-B-9FEA88420F51; IWA-B-0DE302AAC7EC; IWA-B-378308CEC741
Integration status: Potential segment link only; no product integration implemented.