Implementing GenAI: Maximizing Business Impact while Mitigating Risks
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Implementing GenAI: Maximizing Business Impact while Mitigating Risks
Generative Artificial Intelligence (GenAI) continues to make waves across industries — and insurance is no exception. Already, insurers are implementing GenAI into the customer service environment and other business areas, yielding impressive results. While experimentation is crucial to gaining a competitive edge, AI governance must be a high priority to mitigate the potential risks of GenAI.
Integrated GenAI use cases in the insurance sector.
Insurers can use GenAI to elevate different use cases, from streamlining critical business functions to optimizing financial performance. AI and GenAI, when used with other rules-based technologies and data integrations, promise to improve both the effectiveness and efficiency of claims and underwriting processes and decision behaviors. For example, digital ingestion solutions using Large Language Models (LLMs) bring greater precision in data extraction and improved document analysis for risk assessment and claim evaluation. These solutions integrate with underwriting and claims technology platforms to achieve higher levels of automation and enhanced decisioning.
Claim fraud detection is an area ripe for change. By combining the power of GenAI tools like ChatGPT or Microsoft Copilot with semantic search and AgenticAI tooling with new sources of data and real-time claim experience benchmarking, greater insights can be unlocked early in the claim investigation process to determine claim fraud potential and mobilize special investigations units teams.
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