AI Use Cases for Trust Automation in Insurance – with Christian van Leeuwen of FRISS

Matthew DeMello

Matthew is Senior Editor at Emerj, focused on enterprise AI use-cases and trends. He previously served as podcast producer with CrossBorder Solutions, a venture-back AI-enabled tax solutions firm. Prior, Matthew served three years at the World Policy Institute as a news editor and podcast producer.

AI Use Cases for Trust Automation in Insurance@2x-min

Insurance is a growing arena for AI adoption and in many cases, automation is leading the way to streamline customer experiences and the organizational pipelines behind them along the entire customer journey.

Inevitably, this leads to the importance of ensuring security in insurance workflows – from claims to underwriting and beyond – whereby institutions don't just know their customers; they have absolute, even autonomous, trust in them.

In our first interview with FRISS Chief Strategy Officer Christan van Leeuwen, he introduced the notion of "trust automation" in insurance to the audience on Emerj's AI in Business podcast.  

The functionality of trust automation relies on a workflow, like many across AI research in compliance and rules-based systems, that embodies a principle of "front-door" verification. In other words: ensuring the security of systems by "checking IDs at the door" in terms of the scrutiny of first-time users of those systems.

This article breaks down a ...

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