InsurTech Amplified · 2025-07-14 · 35 min
Artificial intelligence is rapidly reshaping how insurance companies process claims, detect fraud, and manage risk. But to be effective and fair, AI must be developed and deployed with careful attention to data quality, model transparency, and ethical use. AI systems are only as good as the data they are trained on, and if that data is biased or incomplete, the outcomes will reflect and even amplify those problems. In a conversation filled with lived experience, John Standish , Co-Founder and Chief Innovation and Compliance Officer at Charlee AI , laid out a powerful and pragmatic vision for how artificial intelligence must be built for the insurance industry. Having transitioned from a long and substantial career in law enforcement and insurance fraud investigations to the world of InsurTech, John offers rare dual expertise: a regulator’s scrutiny and a technologist’s curiosity. His perspectives cut through hype and buzzwords and land squarely in the domain of real-world consequences, compliance, and human-centered innovation. John underscored the importance of domain-specific AI models that are trained with relevant, clean, and unbiased data.
EP 65 - How Can Trust and Tech Work Together to Redefine the Insurance Journey? - Manjit Rana - EVP Insurance at Clearspeed66 / 100
EP 64 - Why Are Legacy Systems Still Holding the Insurance Industry Back?- Robert Lewis - CEO at INTX Insurance Software
EP 63 - How Can Technology Empower Agents to Support SMEs Better? - Jack Ramsey - NEXT Insurance
EP 62 - Can an Insurance Company Be Built From Scratch Using Only AI? - Onur Gungor - CEO at Allegory
EP 61 - Is Now the First Time We Can Map Flood Risk at Scale? - Dr. Andrew Smith - Chief Operations Officer at Fathom