Can AI Make Insurance More Resilient?
In this exclusive whitepaper, learn about the risks insurance and reinsurance businesses face in today’s market and how AI can remove some of these risk factors for your operation- allowing it to survive and thrive in any economy.
AI is Changing Everything in Insurance
Generative AI offers significant potential in improving resilience across
key areas, including:
Decision Support
Help your team make the right decisions at the right time.
Data Streamlining
Link all your disparate data sources into one source of truth.
Compliance Monitoring
Make sure your compliance regulations are met.
Learn How To Compete In Today's AI-enabled Marketplace
Fill in your name and email in the quick-form and instantly get access to:
- A full and complete overview of operational risk factors impacting the insurance and reinsurance industry
- The role of IAIS in operational resilience and what their standardised framework means for your operation
- Where AI can intercept to reduce these risks in a safe and complementary manner
- A use case for how a generative AI insurtech tool like GenAirate Technologies SnapLine Platform can reduce risk
- Insights from the former COO and Head of Operational Risk at UBS, Nomura, Allied Irish Banks and EY
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Why Now?
The International Association of Insurance Supervisors (IAIS) Operational Resilience Objectives; published in October 2024, have significantly impacted the insurance industry by introducing a standardised framework for managing disruptions. These objectives require insurers to establish
robust systems that can withstand and recover from disruptions, protecting policyholders and maintaining market stability.
AI Support Can Help Overcome Risk Factors
Since supervisory authorities will now assess compliance with IAIS objectives, using AI tools to streamline processes can make them more robust.
Properly Handling Data Is A Huge Issue
But gen AI tools can help insurance businesses gather data from all sources into a ‘single pane of glass’ view. This improves both customer outcomes and general oversight.
What This Whitepaper Covers
In a handful of streamlined and well-organised pages, you’ll learn about:
Explore what objectives insurers now need to meet to comply with standards and the risks of non-compliance.
Explore risk management challenges that include manual and inefficient processes, fragmented assets, scalability concerns, complex delivery models and lack of continuous monitoring.
Learn how gen AI can help the insurance industry with:
Data Analysis and Prediction
Risk Assessment and Prediction
Compliance and Monitoring
Cybersecurity and Threat Detection
Supply Chain Resilience
Incident Response and Recovery
Decision Support and Business Continuity
Fraud Detection and Prevention
Training and Education
Explore if there's any chance that AI will create risks of its own and how to mitigate these potential risks.
Explore a use case for how a generative AI insurtech tool like GenAirate Technologies SnapLine Platform can be fully customised to take disparate incoming submissions and standardise the output. This doesn’t remove human oversight, but it does allow for rapid, error-free handling; reducing several risk factors that damage operational resilience.
Is it time to improve your insurance business with generative AI?
Maybe you don’t have the time to read a whole whitepaper today but you know your operation is facing risks to its resilience.
This is something that AI can improve.
Let’s dive into the SnapLine Platform together and we’ll showcase how it can deliver results for your business, today.
At GenAirate Technologies, we’re redefining the future of insurance with cutting-edge AI solutions.
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