Insurers using AI for underwriting will increase broker loyalty

Improving the broker experience has traditionally been seen as a distribution challenge. Recently, technological advances such as AI-powered submissions, digital brokerages and faster online quoting have dominated the discussion. And while those innovations matter, they only tell part of the story. 

The real opportunity is found within carriers. The broker experience is determined not by how quickly a risk can be submitted, but by how efficiently and confidently a carrier evaluates it. If a submission follows a manual, fragmented legacy workflow, even the fastest front-end submission process cannot eliminate the delays brokers and their clients experience. 

It's like doubling the speed of a factory conveyor belt without increasing the assembly line's capacity. Products reach the workers faster, but the factory doesn't produce any more finished goods. The bottleneck simply shifts downstream.

Similarly, adding AI-powered tools to the front of the workflow won't modernize commercial insurance. A carrier's operating system covers numerous critical points in the insurance value chain, from submissions to underwriting, billing, claims, compliance and reporting, and it's usually the lowest common denominator in terms of efficiency. These functions are interdependent, so when one part breaks down, brokers experience longer quote turnaround times, duplicate requests and delayed communication. In recent qualitative research, agents and brokers reported navigating seven to 10 different applications to assemble a single report, often entering the same information across multiple systems.

The submission-to-bind experience can only be improved when the supporting infrastructure is improved. Upgrading carriers' operating systems and deleting legacy systems and processes is the next significant opportunity. 

The real bottleneck isn't underwriting

A common misconception about commercial insurance is that underwriting decisions are slow. Generally, that's absolutely true, but those delays are really due to all the other steps that precede an underwriting decision. The bottleneck has more to do with data gathering and validation – even a small commercial account could require several hundred data points – than with reaching an informed decision. Capgemini's 2026 research found that underwriters spend most of their time on routine tasks such as gathering data, reviewing documents, and conducting basic eligibility checks. That capacity constraint has direct downstream effects: 61% struggle to improve quote-to-bind conversion rates, while 49% struggle to maintain agent and customer satisfaction.

Today's AI capabilities enable the assembly of thousands of relevant data points, providing underwriters with a much more comprehensive view of risk than before while eliminating the manual work required to collect it. This gives underwriters more time to apply their expertise to determine whether a risk is a good fit. 

The shift seems minor, but it fundamentally changes the broker experience. While traditional workflows can take weeks due to back-and-forth friction, an AI-enabled process delivers these straightforward decisions in minutes. 

Automate the friction, not the expertise

The best use cases of AI in the insurance industry focus on eliminating repetitive administrative work, so professionals can focus on the work that creates real value. Every time a new foundational model is released, carriers that leverage AI become better and smarter, improving data quality, risk segmentation, risk selection and speed.

The human gets the leverage they need to exercise sound underwriting judgment, make complex decisions, strengthen relationships and provide excellent customer service. Technology enables experts to spend more time on the work only they can perform by automating routine tasks that have traditionally caused delays. 

Small operational improvements create big broker wins

Brokers often struggle with opaque internal carrier processes, where small operational inefficiencies compound into significant delays. However, technology allows carriers to identify friction and pain points while empowering stakeholders to raise concerns. This heightened organizational responsiveness means problems can be resolved quickly. 

And while individual improvements may appear small, collectively they significantly improve the customer and broker experience. 

The next competitive advantage

Broker expectations will continue to change as underwriting submissions become faster and more consistent. Waiting weeks for straightforward decisions should already be a thing of the past, and even waiting days will increasingly feel outdated. Brokers naturally gravitate toward carrier partners that help them exceed client expectations. 

The carriers that invest in modernization today will not simply quote faster. They will become easier to do business with, strengthening long-term broker relationships. 

AI is already transforming insurance, and carriers that embrace the technology to deliver faster decisions will benefit from increased broker loyalty as friction is removed throughout the underwriting process.