AI for Insurance Householding & Entity Resolution

Resolve people, households, and entities across policies to improve pricing, cross-sell, fraud detection, and customer experience.

Insurers often lack a unified household view. AI-powered entity resolution links policies and people, enabling fair pricing, bundle offers, fraud controls, and smoother service.

Shared address/phone/device patterns; velocity checks.

Watchlists and sanctions alignment.

FNOL triage with household context.

live demo · related simulation● LIVE

Data normalization/standardization for names/addresses.

PII tokenization/hashing; consent and retention controls.

Feature store with time-aware identifiers.

Frequently asked questions

What are audit trails and override workflows for disputes?

Audit trails and override workflows for disputes.

How should I handle profile data and Personally Identifiable Information (PII), and what role does tokenization play?

When managing PII, it's crucial to both profile and clean the data while simultaneously implementing tokenization and conducting thorough consent checks to ensure compliance and protect user privacy.

What precision-recall targets should I set when training and validating matching models?

When developing and evaluating matching models, you should establish specific precision-recall targets to guide your model development and assess its performance effectively against the desired outcomes.

Can I expose the household graph in a read-only mode for underwriters and claims processing?

Yes, the household graph can be exposed in read-only mode specifically for use by underwriters and claims processors, allowing them to access relevant family information without making any changes or modifications to the data.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation

AI for Insurance Householding & Entity Resolution | ML Knowledge Hub