PolicyMe launches AI copilot to speed up complex life insurance underwriting

Solving the complex case bottleneck

PolicyMe, a Canadian insurance technology firm, has introduced an internal AI copilot designed to streamline the underwriting process for life insurance. While the company already uses automation to provide instant decisions for simple applications, complex cases remain a significant hurdle. These difficult cases require a deep dive into medical records, laboratory results, and other supporting evidence that cannot be processed in seconds.

The company identified a major bottleneck in the distribution of life insurance because these detailed assessments can take several days to complete. This delay is compounded by a current shortage of experienced medical underwriters across Canada. By targeting these specific complexities, PolicyMe aims to move faster on applications that require more than a simple automated check.

The new tool is intended to assist rather than replace the human experts who evaluate these risks. As co-founder Jeff McKay told FinTech Global, the goal is to remove the friction surrounding human judgment rather than replacing it. The copilot handles the heavy lifting of document review and summarization so that underwriters can focus on the final decision.

How the AI copilot functions

The AI copilot operates within a secure and isolated cloud environment that combines proprietary technology with advanced AI models. It works by consolidating various case files into a single workspace for the underwriter to view. This workspace brings together medical records, laboratory results, and supporting documents, making it easier for the human reviewer to see the full picture at once.

One of the primary functions of the system is converting lengthy physician statements and other medical documents into structured summaries. It also identifies specific pieces of missing information that require follow-up from the applicant. By organizing this data, the tool helps underwriters navigate through large amounts of information more efficiently than manual review allows.

The system then presents a recommended decision to the underwriter along with the supporting evidence for that recommendation. For applications that are declined, postponed, or offered at adjusted rates, the copilot uses the underwriter's notes to draft personalized explanations. These drafts are written in plain language to help customers understand the specific reasons behind their insurance outcomes.

Maintaining human oversight and safety

Despite the use of AI to summarize data and draft communications, human oversight remains the central pillar of PolicyMe's process. Every single output generated by the copilot must be reviewed and approved by a human underwriter before it is shared with a customer. This ensures that the final judgment on a life insurance policy remains with a qualified professional.

To ensure the reliability of the tool, PolicyMe tests each new version against historical underwriting cases before it is released for use. This validation process is built into the development cycle to maintain accuracy and consistency. The company uses these historical cases to verify that the AI's summaries and recommendations align with past human decisions.

Data privacy is also a core component of the tool's technical architecture. The system includes safeguards that prevent customer data from being used to train the underlying AI models. This isolation is designed to protect sensitive medical and personal information while still allowing the firm to benefit from the efficiencies of AI technology.

Impact on the insurance market

PolicyMe has established itself as a significant player in the Canadian insurance space, helping more than 50,000 people obtain over $20bn in coverage. The company provides direct-to-consumer services for life, critical illness, health, and dental insurance. By improving the speed of complex underwriting, the firm can better serve its growing customer base and its B2B2C partners.

The launch of this copilot comes as the company expands its engineering, product, and operations teams to support its growth. By reducing the time spent on complex cases by 59%, the firm can handle a higher volume of applications without necessarily needing to hire a massive number of new medical underwriters. This efficiency helps address the labor shortage in the Canadian insurance industry.

For the end consumer, this technology could mean faster turnaround times for insurance policies that were previously stuck in a manual review queue. Because the tool drafts explanations in plain language, customers may also receive clearer communication regarding their coverage status. The goal is to make the transition from application to policy as smooth as possible for the average person.