A hidden hero for non-life actuaries: AI-led knowledge management systems

Kennisbank •

Imagine a family stranded at a rain-soaked airport, in an unknown country. Their luggage is misplaced, their pre-booked car is not in the records and to top it all off - they are not the only travelers who are stuck and as a result the claims to their respective insurance companies keep escalating.

A hidden hero for non-life actuaries: AI-led knowledge management systems

Now think of the crisis from the other side - the insurance handler. The actuaries may have constructed a perfectly well-rounded risk model that accounts for hub-specific baggage mishandling, regional weather conditions and a clear mathematical calculation between involuntary disruptions and voluntary alterations. And the expectations that these parameters will be seamlessly applied on the ground. However, this model only holds true if front-line handlers follow the precise procedures and protocols intended by the design.


In the chaos of high-volume procession, the front-line handler hurriedly scans through their fragmented policy base, misinterprets the nuances in the exhaustive policy and incorrectly disperses the claim. The result? Inconsistent ruling, frustrated customer experience and potential re-claims that drag for months - all because the finer details described by the actuary were not correctly interpreted by the handler.

Lees dit artikel verder onder Download.

Over de auteur

Supriya Bohra MBA

Expat in the Netherlands and a Global KM manager at Booking.com. She works at the intersection of AI-adoption, knowledge building and human behaviour.