What happened?
In an article published in IT Briefing, TCC Group CTO Kit Ruparel explores the rise of ‘agentic AI’ in insurance claims handling. Unlike older, passive AI models that simply flag risks or analyze static data, agentic AI can actively assist in decision-making and execute complex workflows.
These advanced tools can progress claims, manage communications, and support real-time decisions, representing a major technological leap for insurance automation.
Why does it matter?
The transition to agentic AI promises massive operational efficiencies and faster claim resolution. However, as machines take on active execution and decision-making roles, firms must establish robust governance frameworks to maintain meaningful human oversight, manage algorithmic bias, and ensure fair outcomes under the Consumer Duty.
Supporting sources
Frequently asked questions
What is agentic AI in insurance claims?
Agentic AI is an advanced form of AI that can autonomously make decisions, progress claims, manage workflows, and execute tasks rather than just analyzing data for human review.
What are the regulatory risks of using agentic AI?
Key risks include lack of human oversight, model drift, data privacy issues, and the potential for automated systems to make biased decisions that result in unfair outcomes for consumers.
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Reviewed by TCC Group Editorial Team
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