FormFlow is set to enhance quote processing efficiency, helping brokers and underwriters collaborate more effectively.
A new artificial intelligence-driven tool named FormFlow has been developed to tackle persistent inefficiencies in the process of handling broker submissions, particularly in the insurance industry. The creation of FormFlow was driven by demand from customers seeking faster and more accurate quote processing, which could significantly enhance sales opportunities for Managing General Agents (MGAs) and insurers.
Traditionally, brokers face considerable challenges when submitting quotes, often having to fill out individual forms for various MGAs and insurers or send risk details through emails and attachments. This process frequently results in underwriters needing to manually re-enter data, a task that is both labor-intensive and prone to errors. According to Insly, a leading player in the insurtech space, underwriting teams currently only process between 30% and 50% of broker submissions, leading to missed opportunities and strained relationships between brokers and underwriters.
Utilising advanced AI systems, FormFlow allows brokers to submit risk details in multiple formats, including PDFs, images, and even handwritten text. The tool effectively extracts the necessary data, mapping it to specific templates for MGAs and insurers while ensuring compliance with stringent data security protocols. By automating this process, FormFlow significantly reduces the need for manual data entry, allowing MGAs and insurers to manage a larger volume of quotes far more effectively.
Insly’s projections indicate that when implemented, FormFlow can enhance quote processing rates to between 60% and 70%, and even up to 80% or 90% when coupled with automated underwriting systems. The introduction of this tool is expected to cut processing times from days to mere minutes and improve data quality for underwriting tenfold.
Risto Rossar, the CEO and Founder of Insly, discussed the implications of this technology, stating, “MGAs and insurers are losing out on a significant volume of potential sales due to a data-processing challenge. Our Insly Innovation Lab has been researching and testing the best applications for AI in insurance processes, and this is an area where the technology delivers immense value.”
Rossar further elaborated on the advantages of FormFlow, emphasising its role in fostering better collaboration between brokers and underwriters, which ultimately aids customers in securing the most suitable coverage options. “The tool we’ve created removes a huge cause of inefficiency, helping brokers and underwriters collaborate more effectively while aiding customers in finding the best coverage for their needs. We’re excited to implement FormFlow with both existing and new customers, empowering MGAs and insurers to maximize their broker relationships and accelerate sales,” he added.
One of the notable features of FormFlow is its flexibility, as it can seamlessly integrate with any current IT systems or function independently. This capability allows it to digitise customer information and bolster underwriting efficiency through structured data and insights from third-party sources. The implementation of FormFlow is poised to redefine the landscape of broker submissions within the insurance industry, promoting faster and more efficient workflows that are increasingly necessary in today’s rapidly evolving business environment.
Source: Noah Wire Services
- https://insurtechdigital.com/articles/the-transformative-effect-of-ai-on-the-insurance-industry – This article discusses how AI is used to automate and accelerate the claims process, reducing processing time and improving efficiency, which is similar to the benefits of FormFlow in handling broker submissions.
- https://tealium.com/blog/artificial-intelligence-ai/7-artificial-intelligence-ai-examples-for-insurance-transforming-the-future-of-insurance-with-ai/ – This article highlights AI’s role in automating claims processes and improving operational efficiency, which aligns with FormFlow’s automation of data extraction and mapping to specific templates.
- https://www.danaconnect.com/the-best-examples-of-artificial-intelligence-in-insurance/ – This article provides examples of AI in insurance, including automation in the claims process and improving risk assessment, which are similar to the efficiencies FormFlow aims to achieve in handling broker submissions.
- https://www.pwc.com/cz/en/assets/AI-insurance_21.08.2023_END.pdf – This document outlines various AI use cases in insurance, including claims handling and underwriting, which are relevant to the automation and efficiency gains described for FormFlow.
- https://www.deloitte.com/de/de/Industries/insurance/analysis/artificial-intelligence-insurance-industry.html – This article discusses the framework for identifying AI use cases in insurance, including optimizing existing services and processes, which is consistent with FormFlow’s goal of improving broker submission handling.
- https://insurtechdigital.com/articles/the-transformative-effect-of-ai-on-the-insurance-industry – This article mentions the use of AI in enhancing customer experience and improving collaboration between different stakeholders, similar to FormFlow’s role in fostering better collaboration between brokers and underwriters.
- https://tealium.com/blog/artificial-intelligence-ai/7-artificial-intelligence-ai-examples-for-insurance-transforming-the-future-of-insurance-with-ai/ – This article explains how AI can integrate with existing IT systems and function independently, similar to FormFlow’s flexibility in integration and independent operation.
- https://www.danaconnect.com/the-best-examples-of-artificial-intelligence-in-insurance/ – This article discusses the use of AI in improving data quality and reducing processing times, which are key benefits of FormFlow in handling broker submissions.
- https://www.pwc.com/cz/en/assets/AI-insurance_21.08.2023_END.pdf – This document highlights AI’s role in enhancing underwriting efficiency and reducing manual errors, which are similar to the improvements FormFlow is expected to bring to the broker submission process.
- https://www.deloitte.com/de/de/Industries/insurance/analysis/artificial-intelligence-insurance-industry.html – This article emphasizes the importance of AI in optimizing existing services and discovering new insights, aligning with FormFlow’s innovative approach to handling broker submissions.
- https://tealium.com/blog/artificial-intelligence-ai/7-artificial-intelligence-ai-examples-for-insurance-transforming-the-future-of-insurance-with-ai/ – This article details how AI can improve risk assessment and underwriting processes, which is relevant to the structured data and insights FormFlow provides to underwriters.


