Agentic AI Roundtable

28 May 2026, Humble House Taipei, Taiwan

Key Topics

 

 

1. Reimagining Insurance Operations through Agentic AI

1. 代理型 AI 在保險營運轉型中的應用 

Streamlining underwriting workflows and claims handling (e.g. through automated medical report reviews) 

Minimising manual intervention and accelerating turnaround time and elevating customer experience 

優化核保流程與理賠作業(如自動化醫療報告審核)

 

降低人工介入,加快處理時效並提升客戶體驗

2. From Efficiency to Value Creation

 2. 從效率提升走向價值創

Moving beyond cost optimisation to enhanced data-driven decision-making and leveraging Agentic AI to design innovative services

超越成本優化,強化數據驅動決策,並運用代理型 AI 設計創新服務

3. Balancing Higher Efficiency & Innovation with Governance

3. 創新與治理的平衡

Ensuring explainability, regulatory compliance, ethical applications and robust human oversight while scaling AI adoption

在擴展 AI 應用的同時,確保可解釋性、法規遵循、倫理應用及健全的人為監督

 

 

Key Takeaways from the Roundtable

圓桌會議核心收穫

Deep Understanding of Agentic AI:

Move beyond conceptual "hype" to understanding Agentic AI as a proactive, autonomous reasoning tool rather than a simple rule-based automation script

深度理解代理型 AI:

超越概念炒作,掌握代理型 AI 作為主動式自主推理工具的核心價值,而非僅是規則式自動化腳本

Operational Transformation Strategies:

Gain actionable insights  into strategies through specific high-impact use cases in the various applications of Agentic AI

運營轉型策略

透過高影響力的實務案例,獲取可行洞見,掌握代理型 AI 在保險業的應用策略

 

Efficiency and Turnaround Optimisation:

Identify areas for reducing manual intervention to significantly improve turnaround times and raise the overall customer experience

效率與周轉優化

 

識別減少人工介入的關鍵環節,顯著縮短處理時間並提升客戶體驗

Frameworks for Value Creation:

Learn how to shift  the focus from basic cost optimisation to strategic value creation, including enhanced data-driven decision-making and the design of innovative products

值創造框架

從基礎成本優化轉向策略價值創造,強化數據決策與創新產品設計

Governance and Compliance:

Be better able to balance the use of Agentic AI with strict regulatory requirements, ensuring that AI scaling is supported by model explainability and human oversight

治理與合規:

 

學習如何在符合監管、模型可解釋性與人為監督的前提下,平衡 AI 的規模化應用

Countering Challenges:

Build readiness to deal with the challenges in implementing Agentic AI

應對挑戰:

針對實施代理型 AI過程中可能遇到的技術與營運障礙,做好充分應對準備

Peer Networking and Benchmarking:

As an invite-only event,  benchmark AI maturity against industry peers and discuss shared challenges in a confidential setting

同行交流與標竿比較:

作為專屬邀請活動,在保密的環境中,與同行交流 AI 成熟度並探討共同面臨的挑戰


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