Agentic AI and the Human Role Illustrated by Claims Handling
summary
The talk examines how agentic AI can be applied in insurance claims handling, arguing that two factors enable AI adoption in claims: living in a 'KI-first' (AI-first) way and being transparent/honest about using AI. It focuses on practical deployment by an AI-based claims service provider (INCA) and discusses the human role alongside such agentic systems.
AI-written summary · about
chapters (20)
- 0:00Welcome
- 1:05Philip Nark and Inka
- 4:12Classic claims handler differences
- 5:57Agentic AI definition
- 8:25Misconceptions on Agentic AI
- 9:27Inka’s Insurtech generation
- 10:10AI First workflow
- 12:19AI-driven culture change
- 14:05AI collaboration skills
- 15:29Human-machine symbiosis
- 17:15Insurer business impact
- 18:58Efficiency and cost savings
- 22:05German Insurtech challenges
- 24:54Insurtech and insurer tips
- 26:20Wishes for stakeholders
- 29:53Global Insurtech innovations
- 31:57Dark processing of claims
- 34:06Germany’s Insurtech lag
- 36:12Training claims adjusters
- 37:19Closing
related talks
30mAgentic AI in Action: From Framework to Deployment
29mAgentic AI: What It Is and Why It Matters
33mAI for Good: Using Responsible AI to Drive Social Impact and Inclusion
39mAI as a Catalyst, Not a Replacement
50mWhy use AI in insurance underwriting and claims? (PRT271)
24mCognitive claims handling with AI
14mAI and Human Expertise for Excellence in Insurance
44mPannel Discussion | Agentic Automation: Are AI Agents The Future of Digital Work
