At InsurTech Insights, FurtherAI CEO Aman Gour sat down with Isabelle Vleminckx, Global Partnerships Manager at InsurTech Insights, to talk about how AI is reshaping underwriting today and where it may take insurance next.

AI built for insurance

FurtherAI was designed to take the power of large language models and make them useful for the insurance value chain. Every workflow in the insurance value chain are now faster, more accurate, and more transparent.

The outcome is simple: carriers, MGAs, and brokers that once spent weeks chasing data can now make decisions in days or hours. That speed doesn’t just cut costs. It determines who wins new business.

Why underwriting is changing

Insurance has always been a data business with service at the front. Underwriting has been part art and part science. AI is fundamentally changing the science side.

Large language models compress decades of knowledge into something underwriters can query and act on in real time. That means:

• Faster triage of incoming submissions
  
  
• Clearer matches against appetite and guidelines
  
  
• Less time lost to cleaning SOVs and rekeying information
  

This way, underwriting teams spend less time pushing paper and more time pricing risk, advising brokers, and innovating products.

Building trust in AI outputs

Executives are right to ask whether AI results can be trusted. Aman acknowledged that generic tools might deliver 70 percent accuracy quickly, but insurance requires 95 percent or higher.

That is why FurtherAI emphasizes auditability. Every output is traceable back to source. Every recommendation can be explained. This is not about replacing judgment, it is about giving underwriters defensible insights they can stand behind with confidence.

The next frontier: faster product creation

One of the hardest challenges in insurance is designing and launching new products. It can take months or even years to research, file, and get regulatory approval. Aman sees AI accelerating this process dramatically:

“It is not far fetched to imagine AI creating a new product, filing it with regulators, and responding to comments — cutting timelines from years to weeks.”

The so what: carriers that adopt AI for product development will not just operate more efficiently. They will be first to market with solutions that competitors cannot launch fast enough.

What leaders should do today

1. Start with a high-value workflow. Submissions intake, SOV mapping, and audit support consistently deliver measurable ROI within weeks.
   
   
2. Build trust with explainability. Require outputs to be auditable and cited. Accuracy builds adoption.
   
   
3. Think beyond efficiency. Use the time saved to innovate — whether by tailoring coverage, exploring new risks, or testing new product ideas.
   
   
4. Anchor to outcomes. Reducing expense ratios by up to 50 percent is not a slogan. It is the difference between winning and losing business in a competitive market.
   
   

The bottom line

AI in insurance is not about hype or futuristic disruption. It is about making underwriting faster, more reliable, and more innovative today. The carriers and MGAs who adopt early will not just cut costs. They will be the ones shaping new markets and capturing growth that others cannot reach.