Ep 314: Stan Smith, Founder & CEO, Gradient AI

In Episode 314 of the FNO: InsureTech Podcast, hosts Rob Beller and David Prejeant welcome back Stan Smith, Founder & CEO of Gradient AI, for his second appearance on the podcast. It's been more than six years since Stan first joined FNO in Episode 49 back in 2019, when the industry was still talking about machine learning long before AI became today's biggest technology story.  Stan shares how Gradient AI evolved from its machine learning roots into one of the insurance industry's most established AI-native companies, helping insurers make better decisions across underwriting, claims, and healthcare. Along the way, he reflects on how AI has changed, what remains misunderstood, and why the industry's biggest challenge may no longer be technology, but adoption.  The conversation explores AI-driven decision support, data advantages, human oversight, healthcare expansion, and why speed is quickly becoming one of the most important competitive advantages in insurance. Stan also shares lessons learned from building Gradient AI, how the company leverages one of the industry's largest proprietary data sets, and where he sees AI heading next. Key Highlights [04:00] Welcome Back, Stan Smith Stan returns to the podcast for the first time since his appearance in Episode 49, reflecting on how much has changed in insurance and AI over the last six years. [05:00] The Origins of Machine Learning Stan shares the story of his early experience with machine learning, long before AI became a mainstream business discussion.  [06:00] From Machine Learning to Modern AI A look at how AI capabilities have evolved over the last decade and why today's models can solve problems that were previously out of reach. [07:00] Understanding Workers' Compensation Through Data Stan explains how temporal data transformed the ability to understand and predict claim outcomes in workers' comp.  [09:00] From Prediction to Action Why AI's biggest breakthrough isn't simply predicting outcomes, but helping users understand what actions to take next.  [11:00] How LLMs Changed the Game Stan discusses how large language models helped bridge the gap between technical predictions and real-world business decisions.  [13:00] Bringing AI Into Underwriting How AI is helping underwriters better understand risk, explain decisions, and communicate more effectively with brokers and customers.  [15:00] Building a Data Advantage The story behind Gradient AI's massive proprietary data assets and why data continues to be a key competitive differentiator.  [17:00] Why the Company Is Called Gradient AI Stan shares the surprisingly simple story behind the company name and why it ended up being the perfect fit.  [18:00] The Right to Win Stan explains Gradient AI's philosophy of helping customers gain a competitive advantage through better decision-making.  [19:00] What Insurance Still Gets Wrong About AI A discussion about industry fears, adoption challenges, and why falling behind may now be a bigger risk than moving too quickly.  [20:00] When Speed Becomes a Competitive Edge Why faster decision-making, better risk selection, and quicker market response are becoming critical advantages for insurers.  [22:00] Beyond Workflow Automation Stan explains why Gradient AI focuses on improving decisions rather than simply automating tasks.  [23:00] The Power of Renewal Analytics How insurers can learn from their existing books of business and use AI to improve future underwriting performance.  [24:00] The Data Flywheel Effect Why contributing data creates value for insurers and strengthens predictive performance over time.  [26:00] Technology Isn't Enough Stan argues that change management, leadership, and execution often have a bigger impact than the technology itself.  [28:00] Expanding From Workers' Comp to Healthcare How customer demand led Gradient AI into healthcare and why the opportunity continues to grow. [31:00] The Future of Healthcare Risk A discussion on self-funded plans, level-funded programs, and the changing economics of healthcare insurance.  [33:00] How Accurate Are AI Models? Stan discusses model performance, hallucinations, human oversight, and why AI continues to improve over time.  [36:00] The Human in the Loop Why AI works best when combined with human judgment and how underwriters can focus on the decisions that matter most.  [37:00] What AI Looks Like Six Months From Now Stan shares his perspective on the accelerating pace of AI innovation and how companies can prepare for what's next. [39:00] Final Thoughts Rob and David reflect on Stan's journey, Gradient AI's growth, and how quickly the AI landscape continues to evolve.