Gen IA in the insurance customer journey
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| LDR | 00000cam a22000004 4500 | ||
| 001 | MAP20250021563 | ||
| 003 | MAP | ||
| 005 | 20251212115316.0 | ||
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| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a216.1 | ||
| 100 | 1 | $0MAPA20250006782$aJia, Ruo Alex | |
| 245 | 1 | 0 | $aGen IA in the insurance customer journey$cRuo (Alex) Jia, Martin Eling and Tianyang Wang |
| 260 | $aGeneva$bGeneva Association$c2025 | ||
| 300 | $a36 p. | ||
| 505 | 0 | $aAcknowledgements -- Foreword -- Executive summary -- 1. Introduction -- 1.1 Forms of Gen AI engagement for insurance customers -- 1.2 Impacts and functions of Gen AI across the insurance customer journey -- 1.3 Scope and structure of the report -- 2. Benefits and concerns of Gen AI for insurance customers: A survey -- 2.1 Benefits of Gen AI insurance services -- 2.2 Challenges and concerns -- 3. Implications for insurers -- 4. Conclusions | |
| 520 | $aThe report examines how generative AI is reshaping interactions between insurers and customers across the entire insurance lifecyclefrom product research and policy selection to claims and servicing. Based on a survey of 6,000 customers in six major markets, it finds strong interest in Gen AI's benefits such as speed, personalization, and convenience, alongside concerns about data privacy, accuracy, transparency, and loss of human touch. Customers increasingly use both insurer-provided tools and off-the-shelf platforms like ChatGPT to compare products and make decisions, which challenges traditional distribution models. For insurers, Gen AI offers efficiency gains and new engagement opportunities but requires robust governance, human oversight, and compliance with evolving regulations like the EU AI Act to mitigate risks such as bias, hallucinations, and cybersecurity threats. The report concludes that responsible adoption combining technological innovation with ethical safeguards and customer-centric strategies is essential to build trust and unlock Gen AI's full potential in transforming insurance services | ||
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080624019$aComportamiento del consumidor | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20080588434$aToma de decisiones | |
| 650 | 4 | $0MAPA20080610364$aEficiencia organizativa | |
| 650 | 4 | $0MAPA20080596880$aGobierno corporativo | |
| 650 | 4 | $0MAPA20080587628$aRiesgo tecnológico | |
| 650 | 4 | $0MAPA20160007633$aCiberriesgos | |
| 650 | 4 | $0MAPA20080550592$aEncuestas | |
| 700 | $0MAPA20080644529$aEling, Martin | ||
| 700 | 1 | $0MAPA20250004399$aWang, Tianyang | |
| 710 | 2 | $0MAPA20240022754$aThe Geneva Association | |
| 856 | $uhttps://www.genevaassociation.org/publication/digital-technologies/gen-ai-insurance-customer-journey |