In a recent LinkedIn post, Arun P 0b037688 shared key takeaways and reflections from the Insurtech Insights event at NY Tech Week, highlighting the crucial conversations that took place beyond the formal panels. Arun P 0b037688 emphasizes that while the panels set the direction for insurtech innovation, the most impactful insights emerged from one-on-one discussions.
Arun P 0b037688 identifies several individuals whose contributions significantly enriched the event experience. Among them was Katya K. of nettle, with whom Arun P 0b037688 discussed the role of AI in empowering insurance professionals. As Arun P 0b037688 notes,
“Her point that AI should make the expert faster, not replace them, is exactly how we see it too.”
This perspective underscores a common theme: AI as a tool for augmentation rather than pure automation, particularly for seasoned experts like underwriters and risk engineers.
AI’s Role in Decision Support and Workflow Orchestration
The post further details Arun P 0b037688’s conversations with other industry leaders. Lindsey Bates, Director of Innovation at Decisions, shared insights on how AI is being leveraged to enhance decision-making by synthesizing information from various sources. Arun P 0b037688 found this particularly relevant, stating that this is “exactly the kind of decision support the industry needs more of.” This focus on better decision-making through AI points to a growing trend in the insurance sector.
Another significant interaction was with Rohit Rakhe of Mango Mousse AI. Arun P 0b037688 discussed agentic AI orchestration, raising a critical question about oversight:
“As these multi-step agent workflows hit production, the question I keep coming back to is: who’s watching what the agents actually do?”
This highlights a burgeoning concern within the AI community regarding the accountability and monitoring of autonomous or semi-autonomous AI systems in real-world applications.
The Need for an Insurance Operating System
Arun P 0b037688 also highlighted a conversation with Bobbie Shrivastav from Solvrays. Beyond her panel participation, their one-on-one discussion centered on the foundational infrastructure needed for insurance workflows. Arun P 0b037688 reports that Shrivastav
“made a strong case that insurance needs a proper operating system for agent workflows, not just bolted-together tools.”
Arun P 0b037688 expressed strong agreement with this sentiment, adding that such an operating system necessitates an integrated observability layer. “You can’t run what you can’t see,” Arun P 0b037688 asserts, emphasizing the critical link between visibility and operational integrity.
Addressing Unseen Challenges with Data Extraction
The post also features Punitha Geetha from CogniSure, who demonstrated how their platform addresses the overwhelming volume of documents in the insurance industry. Geetha’s work focuses on extracting actionable insights from loss runs, submissions, quotes, and policies using deep learning. Arun P 0b037688 was particularly impressed by this application of AI to what they describe as a “real, unglamorous problem,” noting its potential for generating growth and risk insights while lowering costs and improving loss prevention.
The Overarching Theme: The Missing Observability Layer
Across all these interactions, Arun P 0b037688 identifies a unifying challenge in the current insurtech landscape. The industry is rapidly adopting AI for core functions like underwriting, claims, and risk assessment. However, Arun P 0b037688 points out that a critical component remains underdeveloped:
“the layer that makes all of it observable, accountable, and audit-ready is still missing.”
This missing piece, according to Arun P 0b037688, is precisely what they are addressing with their work at Block Convey, specifically mentioning their product PRISMtrace as a solution for this gap. The post concludes with an invitation for further engagement from those met at the event, reinforcing the value of continued dialogue in driving innovation.
📝 About This Content
This article is based on insights shared by Arun P 0b037688 on LinkedIn.
📅 Originally posted on June 15, 2026 | View original post on LinkedIn →