AI for Insurance: Automated policy requoting

Every insurance broker knows that today’s market isn’t just about finding coverage; it’s about constantly proving value. With rates fluctuating and customers more price-sensitive than ever, brokers need to work smarter, not just harder. Policy Requoting was once a nice-to-have, but in this market, clients are demanding it, and if they are not, it's because they are probably shopping elsewhere.

Manual requoting is time-intensive, error-prone, and nearly impossible to do at scale. The more policies you manage, the bigger the backlog, and the harder it gets to stay proactive for priority policies. Brokers know how crucial it is to bring the best options to clients at every renewal, but manual processes make it hard to keep up.

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The case for automated policy requoting in insurance

What’s driving the push toward smarter, automated requoting? It’s a mix of real-world market pressures and rising client expectations. Rates are always shifting, often with little notice, and the competition for every policyholder is fierce, especially with how easy it’s become to shop for and buy policies online. Personal lines clients are more likely to shop around if they think they can get a better value elsewhere, meaning brokers need to be on top of their game just to maintain their book.

Requoting isn’t just about price; when you show clients you’re actively looking for the best fit and value year after year, you’re reinforcing your value as a trusted advisor. You’re also reducing E&O risk by reviewing policies for new opportunities, potential gaps, and changes in coverage that could affect the client. That’s the level of proactive service clients look for.

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What is AI-powered policy requoting?

So what does AI bring to the table for policy requoting? It starts with automation — no more manual and time time-consuming data rekeying. Instead, AI-powered platforms can automatically extract all relevant renewal data. They’re designed to monitor for intelligent “triggers” (think: a jump in premium) that signal when a requote is needed.

 AI-driven analysis means brokers get coverage gaps flagged for review, and recommendations prioritized right inside their broker management system. It’s efficient, and helps brokers act fast when it matters most. When a brokerage’s criteria is met, the platform instantly launches a real-time search for competitive quotes within a rater.

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Quandri’s approach to policy requoting

Quandri’s Renewal Intelligence Platform was built with personal lines brokerages and their unique challenges in mind. The platform’s Requoting capability automatically identifies policies that meet your brokerage’s requoting requirements — such as a premium increase above 25%. When a policy meets the threshold, Quandri extracts all the necessary policy details, and populates it within Applied Rating Services (ARS) to generate real-time quotes. Additional activities are created to notify the broker with the requote summary. 

What sets Quandri apart is its seamless integration with Applied Epic. The top competitive quotes and supporting documentation come straight back into your BMS, so there’s no need for extra logins, tabs, or data entry. For brokers, this means less time chasing data and more time delivering advice. For clients, it means transparency, more choices, and greater trust in the process.

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Benefits and ROI: from cost savings to client loyalty

Adopting AI-powered requoting delivers a host of benefits for brokerages, starting with the most valuable asset of all: time. Manual requoting can take up to 30 minutes per policy, but automation can reduce it to just 5 minutes to review the results. That means brokers spend less time on repetitive admin and more time focused on building client relationships. 

Just look at what Blue Ridge Risk Partners achieved: after implementing Quandri’s AI-powered Requoting, they saw a 94% time savings on requoting alone, which contributed to a 1.5% increase in retention and a 21% drop in cancellations.

The retention impact is significant. When clients know their broker is actively looking out for their best interests, they’re less likely to shop around or lapse at renewal. Automated, consistent review of every policy also helps minimize risk by making sure clients aren’t missing important coverages or left exposed by market changes.

Ultimately, AI-powered requoting doesn’t just make existing workflows more efficient – it enables real growth. With better client satisfaction and streamlined processes, brokers can serve more clients without sacrificing quality or compliance.

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Workflow example: A day in the life with AI-powered requoting

Imagine a typical busy renewal time. As new downloads arrive in your BMS, Quandri automatically reviews policy data and identifies which clients need to be requoted based on set triggers. Underwriting details are extracted, and real-time quotes are automatically generated. If no competitive options exists, this is added in an activity note directly in your BMS. If there are better coverage options available, the top three quote options are highlighted.

The broker reviews these insights, picks the best option, and reaches out to the client, either letting them know that they are already with the best option, or with a recommendation and a clear explanation. No manual data entry, no missed deadlines, and no risk of sending a client into renewal limbo. The result is a faster process, happier clients, and a broker team that’s freed up to focus on what really matters: advice, service, and growth.

This isn’t just a vision for the future. Brokers are already using Quandri’s requoting automation to eliminate backlog, keep clients loyal, and build their businesses in a competitive environment. 

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AI-powered requoting is the future of insurance

The world of insurance is only getting faster and more complex. For Canadian brokerages, AI-powered policy requoting isn’t a nice-to-have; it’s an essential capability for anyone who wants to compete, retain clients, and stay ahead. Automation is raising the standard for brokers and delivering a better experience for clients at the same time. Ready to see how Quandri’s requoting can fit into your workflow? Book a live walkthrough today.

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Frequently asked questions

What is AI-powered policy requoting and how does it work?

AI-powered policy requoting uses automation to extract policy data, identify which policies need to be requoted, and then generate real-time competitive quotes within an activity note and attaches the relevant quote documents. Brokers review the options and communicate recommendations directly to clients.

Which types of policies can be requoted using Quandri’s solution?

Quandri’s Requoting capability supports personal lines home and auto policies. Currently auto requoting is not supported in Atlantic Canada but is coming soon. Quebec is also not supported.

How does Quandri identify which policies need to be requoted?

Quandri uses configurable triggers — like premium increases, coverage changes, or other client-specific criteria — to automatically flag policies to be requoted at renewal.

What systems does Quandri’s requoting solution integrate with?

Quandri integrates with Applied Epic and Applied Rating Services, so all quotes and documentation are handled inside your existing workflow.

How do brokers review and act on AI-generated quotes?

Brokers receive recommended quote options automatically within their BMS making it easy to review, communicate, and act quickly with clients.Additionally, if a client walks or calls in, the broker already has the information that they need to successfully advice the client.

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