Agentic AI - friend not foe | InsTech

About this webinar In insurance, the term “Agentic AI” was barely heard in 2024, but today, there is nothing that is more talked about. But endless column inches and rapid adoption are also creating confusion. So, what exactly is “Agentic AI” and what can it do that couldn’t be done before?

Defined as artificial intelligence capable of proactive decision-making and task execution without constant human prompts, it is conceptually distinct from purely generative AI models. Insurers remain divided over the benefits of AI adoption, but evidence is mounting: Agentic AI is already reshaping underwriting and operations. Firms not yet trialling it could lose competitive advantage.

InsTech’s webinar, hosted in partnership with OIP Insurtech, discussed the current Agentic AI landscape and why culture is proving a strong predictor of AI success. Showcasing its Bound AI feature during the webinar, OIP set the scene on the current problems the industry is facing with AI adoption and clarified where Agentic AI’s plays best within insurance: where workflows are complex and context-dependent.

Joining OIP Insurtech’s panel were speakers from Google, HDI Global and WTW who provided perspectives that touch on the importance of discussing and understanding the real-world challenges insurers face with AI adoption, rather than just the theory. This webinar touched on: What is Agentic AI, and how does it differ from generative AI approaches in insurance?

Where can Agentic AI have the most impact in underwriting and operational workflows? How are leading insurers and brokers already using this technology today? What are the risks of ignoring AI, and how can companies future-proof their implementation processes?

What does a realistic implementation roadmap look like for mid-sized insurers? As Agentic AI systems evolve, insurers face a choice: observe or engage. This webinar offered a forum to hear directly from firms already deploying the technology and provided insight designed for those seeking practical pathways for implementation.