SEPTEMBER 2023 RELEASES
September 2023 Releases
The Benefits of AI in Insurance: How AI Agents Are Reshaping the Industry
It’s coming from the top down. PE firms and other investors. Your exec team. Everyone is pushing you to buy into AI and AI agents ASAP.
All they keep telling you is to keep it under budget and make it happen as fast as possible. How fun.
You find yourself asking, “What are our top competitors doing with AI? What can AI Agents be used for in insurance right now?”
Here, we got you covered.
In this article, we’ll show the 8 main ways that insurance companies (across a wide spectrum of insurance types) are utilizing Regal AI Agents to dramatically improve the experience for prospects, policyholders, and their most experienced human agents while also unlocking the broader benefits of AI in insurance, from cost savings and efficiency to smarter personalization and 24/7 availability.
Let’s hop into it.
8 AI Agent Use Cases Proving the Benefits of AI in Insurance
1. Lead Qualification and Prioritization
If you’ve ever found yourself asking…
- How do we avoid having senior agents on the phone with unqualified leads?
- How many high-intent prospects are we missing just because no one responded fast enough?
- How can we respond quicker to quote requests, and do so consistently?
Just imagine: Immediate responses. 100% answer rate. Never having a senior or licensed agent on the phone with an unqualified lead.
Regal AI Agents can pick up all of your frontline lead qualification and prioritization.
How do AI Agents help insurance providers qualify and prioritize leads?
What makes this work is that Regal’s AI Agents are plugged in, in real-time, to all of your behavioural, event, and interaction data.
They’re not just fielding questions from prospects, they’re acting with full knowledge of who the prospect is, how they like to be contacted, actions they’ve taken, and blending that with full knowledge of your historical and current workflow patterns. That’s what enables them to deliver the real benefits of AI in insurance.
With this data fueling them, they can A) interact and learn about interested policyholders, and B) make informed decisions on how those prospects should move through your system (i.e. who they should talk to next, if anyone).
How they do this:
- By instantly responding, with 100% answer rates, to new inquiries via phone or SMS
- Asking qualifying questions (through voice, text, or chat)
- Determining eligibility based on intent signals and risk factors
- Syncing data to your CRM
- Routing qualified prospects to the right next step, escalating to human agents when required
For Example:
Tim is interested in a $1 million life insurance policy. He fills out a quote form at 7PM.
Instead of waiting until morning, your AI Agent calls Tim in seconds. Confirms his interest, verifies his age, location, and financial stability, and sends a health questionnaire via email while talking to him on the phone.
When the call is finished, all of Tim’s responses are auto-logged. He then completes his health questionnaire. That data gets updated across your systems as well.
Tim is identified as a tier 1 fit, so your AI Agent sends him a scheduling link to set time with a senior agent. In a matter of hours, if not minutes, AI reacted to Tim’s request, called him, qualified him, and connected him to the right person. All without human intervention.
2. Lead Management
If you’ve ever found yourself asking…
- How do we better follow up with after hours requests?
- Why are we dropping so many conversations with qualified leads?
What are the benefits of AI for insurance lead management flows?
AI Agents make sure no conversation ever goes cold. No bathroom breaks, no coffee breaks. When they’re on, they’re on, 100% of the time, 24/7/365. And, they always follow protocol.
All of your follow-up work is taken care of, and is acted upon immediately. Whether a lead has just started a quote request, or is about to put pen to paper on a policy, AI Agents are always there, available to help, provide guidance, give nudges, identify red flags, and much more.
How they do this:
- Proactively reaching out when a lead starts but doesn’t finish a request form
- Schedule appointments, send appointment reminders, reschedule links
- Follow-up across channels with relevant next steps and details
- Escalate high-priority leads based on engagement signals or inactivity
For Example:
Blair starts an auto insurance quote but drops off the form.
Your AI Agent texts Blair to re-engage her. Turns out Blair had a question about bundling her auto insurance with her renter’s insurance, started to look into it, and then got distracted.
You can set up a trigger from the form drop-off, to immediately have an agent reach out and ask, “Are there any questions I can answer for you?”
If Blair responds with her question, your AI Agent can provide any needed context by sharing links, giving information over the phone, or escalating the conversation.
3. Underwriting & Risk Assessment
If you’ve ever found yourself asking…
- How can we identify edge cases more quickly and accurately?
- How can we avoid having underwriters re-confirm basic info when assessing applicants?
- How do we ensure underwriters are only reviewing the applicants they should be?
Underwriting is complex. But most of the nuance within applications comes from about 10-20% of the information.
How do AI Agents help automate underwriting and risk assessment?
AI Agents can pre-screen applicants, gather and analyze data, and highlight high-risk indicators, so your underwriters focus only on edge cases.
How they do this:
- Pull applicant data via real-time Q&A
- Flag missing info or risky answers for manual review
- Auto-disqualify based on pre-set logic (e.g. age, location, pre-existing conditions)
When underwriters jump in, they’ll have all the information they need to act quickly. This is one of the key benefits of AI in insurance because you’ll never have to chase down missing info or piece together fragmented data again.
For Example:
A health insurance AI Agent asks Daniel some key eligibility questions. Daniel insists on all accounts he has a clean health history, and little family health issues, but on multiple occasions references his “frequent doctor visits.”
Your agent asks for clarification, but Daniel does not provide much context. Daniel is identified as an applicant that needs review. Your AI updates his entire profile and interaction log, and then helps Daniel set time with an underwriter.
4. Document Collection & Management
If you’ve ever found yourself asking…
- How can we minimize the number of policies that are stuck in limbo because of missing documents?
- Why is my team still calling customers just to remind them to update one piece of info?
How do AI Agents help with document collection for insurance providers?
Back and forth, back and forth. Collecting and sorting every bit of documentation can really slow things down.
AI Agents can keep the document collection process moving quickly and consistently by:
- Requesting required documents instantly after application or claim initiation
- Verifying file types and contents (e.g. license photos, proof of loss)
- Automatically organizing and syncing files to your system of record
- Sending alerts for missing documentation or information
5. Policy Issuance
If you’ve ever found yourself asking…
- How do we accelerate our rate of policy activation?
- How many customers drop off between payment and activation—and do we even track that?
- How are we making sure new policyholders feel taken care of in the first 24 hours?
If you are losing any clients during the issuance period, it’s too many.
How do AI Agents accelerate and automate policy issuance?
AI Agents will remain on top of accepted applicants to make sure they’re able to act quickly, and have all of the information they need.
How they do this:
- Delivering final documents and activation instructions in real-time
- Providing always on, automated support, answering last-mile questions
- Escalating to a licensed agent when needed
6. Billing & Payment
If you’ve ever found yourself asking…
- How many of our lapses could’ve been prevented with a simple reminder?
- How can we automate payment reminders to minimize lapses?
How do AI Agents help automate the insurance billing and payment processes?
Sometimes missed payments are due to poor communications (or simply not enough communication). AI Agents give you a way to keep policies active without the awkward calls, and make it easy to automate communications so you’re reaching out often, and always at the right time. Another one of the major benefits of AI in insurance!
How AI Agents manage billing and payments:
- Sending automated premium reminders via SMS, voice, or email
- Notifying customers of failed payments and offering retry options/alternatives
- Confirming when payments are processed and policies are active
7. Claims Processing & Support
If you’ve ever found yourself asking…
- How do we reduce the time customers are waiting to file a claim or get a status update?
- Why do people have to call us three times to get an answer to one question?
How do AI Agents speed up claims processing and improve the experience for policyholders?
AI Agents make it easy to automate claims processing and provide automated support—making sure claims are accurate, no question is left unanswered, and taking the workload off of your human agents.
How they do this:
- Walks policyholders through claim submission, step by step
- Provides real-time updates on claim status
- Answers common questions
8. Policy Renewal & Upselling
If you’ve ever found yourself asking…
- How can we better leverage reminders to reduce policy churn?
- How can we better customize renewal recommendations without a ton of manual work?
- How much premium are we losing every month simply because we didn't make the ask?
How do AI Agents drive insurance policy renewal and upselling?
Policyholders don’t always know the ins-and-outs of different insurance plans. Sometimes, it’s simply a matter of communication when it comes to driving upsells and renewals.
AI Agents open up new levels of bandwidth for you to automate and personalize renewal comms at scale. So you can drive customized recommendations for policyholders, without putting extra work on your senior agents.
How they do this:
- By reaching out with personalized renewal reminders (triggered by timing or certain actions taken)
- Recommend upgrades based on coverage gaps and life events
- Escalate high-value opportunities to your best closers
For Example:
Dylan currently has a home insurance policy that does not include flood coverage. Since the beginning of their policy, your data shows that their flood risk factors have increased, crossing into a new threshold.
This triggers an AI Agent to call Dylan with this new information, details about flood coverage, and a new quote that includes flood coverage.
Without human intervention, Dylan was notified, informed, and provided with a quote.
AI Can Make Your Agents Unstoppable
The question shouldn’t be, “Should we use AI?” It should be, “Where do we use it first?”
Regal AI Agents help you reap the benefits of AI in insurance allowing you to automate and augment routine tasks for prospects and policyholders. They always show up on time, say the right thing, and make your best agents even better.
Have you ever found yourself asking any of the following questions?
- How many leads are slipping through the cracks?
- How many agents are stuck doing work AI could handle?
- How much revenue are you losing to slow, manual processes?
Then it’s time to start firing up AI Agents. Get started today!
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