InsurTech NY: QuickFacts on Broker Data

At InsurTech NY, Christy Barsalou from QuickFacts explains how the company is helping brokers deal with one of the most persistent challenges in insurance: fragmented information.

Barsalou says the core problem QuickFacts is solving is around access to coverage and appetite data. For brokers, providing the right advice depends on having a clear understanding of which carriers offer what, and under what conditions. However, that information is often spread across multiple sources, including internal systems, portals, shared drives, and even individual knowledge within teams.

According to Barsalou, this fragmentation makes it difficult for brokers to deliver consistent, informed guidance to their clients.

QuickFacts addresses this by centralising that information into a single platform.

Barsalou explains that by bringing together coverage details and appetite data in one place, brokers can more easily understand the options available and communicate them to customers. This allows conversations to go beyond price alone, helping clients better understand the coverage itself and make more informed decisions.

She adds that the role of the broker is ultimately about advice, and having access to the right information is critical to delivering that value effectively.

Barsalou also reflects on the importance of InsurTech NY as an event.

She highlights the opportunity to meet customers, potential partners, and investors in a more focused environment. The ability to schedule one-on-one meetings in advance allows for more meaningful conversations, and she notes that the event has consistently delivered value for QuickFacts over time.

When it comes to industry trends, Barsalou acknowledges that AI remains a dominant topic.

However, she emphasises that the conversation is evolving. Rather than viewing AI as a solution to every problem, she believes organisations are starting to focus more on understanding specific use cases. In her view, the key is not just adopting AI, but first identifying what problem needs to be solved and how AI can be applied in a practical way.

For Barsalou, that process starts with understanding the business itself.

Only then can companies choose the right tools and technologies to support their goals.