Secondo una ricerca condotta da EY in collaborazione con Italian Insurtech Association per il 96% degli intervistati l’IA Generativa riscriverà l’ambito sinistri
- Previsto l’aumento della produttività e dell’efficienza operativa (88%)
- Solo il 21% dei player riferisce di avere già adottato la IA Generativa sulla gestione dei sinistri in produzione
Milano, 10 giugno 2024 – “Claims (Re) Generation: le potenzialità dell’IA Generativa nella gestione dei sinistri, tra benefici e rischi” è il titolo della nuova ricerca realizzata da EY -leader mondiale nei servizi professionali di revisione e organizzazione contabile, assistenza fiscale e legale, transaction e consulenza - in collaborazione con Italian Insurtech Association – l’associazione senza scopo di lucro che riunisce imprese attive nel settore assicurativo e non solo, che analizza i benefici e i rischi legati all’utilizzo dell’IA Generativa nel settore assicurativo, e che verrà presentata integralmente il 13 giugno durante l’evento “Beyond Claims & Costumer Centricity”. Il report si concentra principalmente sui processi legati alla gestione dei sinistri per analizzare in che modo i player stiano incorporando questa tecnologia per migliorare l’esperienza utente e massimizzare l’efficacia operativa nella gestione dei sinistri. Lo studio si basa sul contributo di circa 25 player assicurativi tra cui Compagnie (con una copertura del market share sulla raccolta premi superiore al 40%), Insurtech e broker preminenti nel mercato italiano.
I benefici dell’IA Generativa nei claims
Per l’88% degli intervistati i benefici sono legati all’aumento della produttività e dell’efficienza operativa, per il 63% si registra una riduzione dei costi operativi, per il 50% il supporto alla gestione dei rischi e prevenzione delle frodi assicurative e, sempre per il 50%, il miglioramento della relazione con la clientela. Attualmente, la maggior parte degli attori assicurativi sta svolgendo o pianificando dei progetti pilota (67%) sull’IA Generativa. Il 42% di loro indica inoltre di avere in piedi una IA Strategy per definire come l’IA debba essere usata, controllata e implementata, mentre il 33% è nella fase di data collection e analisi di fattibilità.
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