How AI is Revolutionizing the Insurance Distribution Model

Generative Artificial Intelligence (AI) has the potential to become the most accessible and inclusive distribution channel for selling insurance. There’s no doubt that AI will play a role in the distribution mix of insurance products. But when is the right time to take action? Frits Korthals Altes and Onno Zwaagstra explain why it is necessary to adapt strategy execution now and leverage the flywheel effect.

AI Strategy-Execution

AI strategy execution balances clear objectives, multidisciplinary teams, ongoing employee training, and KPIs (Key Performance Indicators) to ensure innovation and adaptability within organizations.

Running AI

Effective AI management requires clear incident identification, proficiency in problem-solving, integrated AI in value chains, structured training programs, and a strategy for talent development and retention.

AI Ecosystem

For successful AI implementation, insight into available knowledge, capacity, and data is essential, complemented by external expertise and partnerships, and supported by solid data management and infrastructure.

AI Data management

AI data management requires meticulous data hygiene, systematic audits, flexible IT architecture, and a roadmap that supports AI integration and future growth, ensuring quality and innovation go hand in hand.

AI Governance

Turner Artificial Intelligence

AI Governance requires clear ELSA (Ethical, Legal, Social, and Algorithmic) policy definitions, risk registration, human oversight, balance in innovation, bias mitigation, and transparency for responsible and sustainable AI applications.

AI Vision

A clear vision of AI provides a strategic framework, ensures ethics, manages risks, stimulates innovation, and promotes organization-wide responsibility and future-proofing.

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