Underwriting comes with its problems like fraud, nondisclosure and lost premiums. You probably already use data like driving history, claims, medical records and credit scores but these checks are not always complete or cheap. They only tell you if the information is accurate or not. As the need to spot risks early grows, you are going to need better solutions to manage these issues and protect your bottom line.
But good news is underwriting just got a whole lot faster and smarter. AI in insurance underwriting has reduced throughput times by 90% while improving case acceptance rates by 25%. Instead of reacting to problems after they occur, it is now about predicting and preventing them before they even surface. And Carriers can now handle more Life and P&C applications faster and offer higher coverage amounts on life policies with instant decisions.
If you start using AI, you will make smarter decisions, boost productivity, save money and give your customers a much better experience.
The ‘Black Box’ problem in traditional Underwriting
The black box nature of traditional underwriting impacts everyone involved. Applicants feel uncertain about how decisions are made, regulators demand more transparency, and insurers risk losing credibility and efficiency.
Subjectivity in decision making
Underwriting is a skill that relies heavily on human judgment, but that judgment isn’t always consistent. Personal biases, levels of experience, differing interpretations of underwriting guidelines can impact outcomes. Two underwriters reviewing the same application might arrive at completely different conclusion.
No transparency
One of the biggest challenges in traditional underwriting is the inability to clearly explain why certain decisions are made. Applicants and even regulators often face vague explanations like “risk factors” without clarity on what those factors were. Which make it harder for insurers to justify their decisions and communicate effectively with applicants or stakeholders
Inconsistent application of guidelines
Underwriting guidelines are often long, complex, and open to interpretation. While they are meant to standardize decision-making, their complexity can lead to inconsistent application. What one underwriter considers a borderline case, another might view as a clear approval or denial.
AI in underwriting addresses all of these issues in traditional underwriting.
The benefits of AI in Underwriting (How it benefits Underwriters)
Instant underwriting support
You can use AI to get quick answers to underwriting and policy questions while speaking with a client. Instead of stopping to look through policy documents or reaching out to another team member, you can get the information you need during the conversation. Producers and sales reps can keep the discussion going... while spending more time understanding what the client needs.
Context-Aware underwriting guidance
Based on your interaction with AI in conversation, useful pieces of information can be surfaced at the right time. You may refer to such information in replying to a question, elaborating a policy or continuing the discussion based on what the caller has revealed.
Important talking points will be accessible to you without you having to go through different sources.
Personalized plan recommendations
You can use AI to review client and demographic information and identify plan options that may suit their needs. AI considers details such as the client’s profile, preferences & coverage requirements when suggesting options.
You can use these recommendations to make your plan discussions more relevant to each client.
Tailored proposal generation
AI can create a proposal using the client information you have collected and the plans that may be relevant to them. You get a clear view of suitable options and key details that you can review during the sales conversation. Proposal preparation also becomes easier when you are handling conversations with multiple clients.
AI-Guided needs discovery
AI can help you ask useful questions during a client conversation and learn more about what they are looking for. It can help surface preferences, concerns, and objections that may need further discussion. You can use these insights to understand the client’s situation and have a more relevant conversation around plan options.
Real-time sales intelligence
You'll get sales insights and next-best-action recommendations as the conversation is taking place. Through AI, you're supported not only with uncovering helpful information but also making decisions on what topics to raise next and where the customer might benefit from further clarification.
Having these suggestions during the conversation helps you maximize sales.
Context-rich human handoff
When a conversation requires human support, AI can pass it to an agent along with the relevant conversation context. You can see what the client has already discussed and the information they have shared with AI.
The conversation can then continue from the same point, reducing the need for the client to repeat details.
Floatbot.AI
Keeping in mind all the issues that arises in traditional underwriting and limitations of many existing AI solution, Floatbot built AURA, the AI Agent for underwriters. Floatbot’s powerful AI Agent can serve as AI Assistant(copilot) for underwriters, enable live chat between producers & underwriters, automate agent and producer queries as well as customers and more. What you can expect with AURA:
- Reduce average days to generate each quote by 3-5 days
- 2-4% lower portfolio loss ratios
- Enhance premium volumes by 10-15%
- Increase policies evaluate per day by 30%
