AI for Insurance Subrogation & Recovery Analytics

Identify liable third parties, estimate recovery potential, and prioritize pursuit with AI across auto, property, and specialty lines.

Insurers miss recoverable dollars when subrogation is late or overlooked. AI mines claims, policies, police reports, and images to spot liability, size recovery, and guide pursuit sequencing.

Statute of limitation timers; evidence completeness scoring.

Queue optimization for adjusters and legal partners.

Template demand letters; document packs; negotiation playbooks.

live demo · related simulation● LIVE

Document/NLP pipelines; OCR for scanned reports.

Image CV ingestion; telematics where available.

Feature store with case timelines and legal cutoffs.

Frequently asked questions

What is the purpose of digitizing and structuring claims and police reports, and how does this contribute to identifying liability signals?

Digitize and structure claims/police reports; build liability signals.

How can I improve the likelihood of train recovery assessments for electric vehicle models, and should I incorporate statute timers into the process?

Train recovery likelihood/EV models; add statute timers.

What is the recommended approach for deploying dashboards and tasking functionalities, and which business area or geographic region should be used as a pilot program?

Deploy dashboards and tasking; pilot on one LoB/region.

How can I automate the creation of document packs, and what steps should be taken to expand this functionality across different carriers and venues while maintaining quality control?

Automate document packs; expand carriers/venues; monitor quality.

▶ 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 Subrogation & Recovery Analytics | ML Knowledge Hub