ISI INSIGHT | AI in Insurance
The Trust Threshold: From AI Potential to Operational Impact
Moving AI from experimentation to production requires more than a successful prototype. In this three-part ISI INSIGHT series, Keith Raymond of Celent, Lawrence Ngo of Ngo Consulting Partners, and Cameron Scott of ISI explore the trust, validation, governance, and workflow considerations that can help insurers and MGAs move from AI potential to operational impact.
ISI INSIGHT Webinar Highlights | The Trust Threshold
Why is moving AI from prototype to production so difficult?
Building an AI prototype can be relatively quick and inexpensive, but moving into production introduces far greater complexity. Keith Raymond and Lawrence Ngo discuss the foundational requirements, business logic, edge cases, accuracy, and validation at scale that insurers need to address before AI can operate reliably in production.
ISI INSIGHT Webinar Highlights | The Trust Threshold
What does it take for insurers and MGAs to trust AI in production?
Trust in AI depends on more than promising results. Keith Raymond, Lawrence Ngo, and Cameron Scott discuss the importance of consistent performance, validating outputs, demonstrating value in real use cases, and starting with a specific business problem rather than treating AI as a solution to everything.
ISI INSIGHT Webinar Highlights | The Trust Threshold
How is AI moving insurance workflows from ingestion to action?
AI is moving beyond extracting and summarizing information toward supporting actions within insurance workflows. Cameron Scott, Keith Raymond, and Lawrence Ngo discuss cross-referencing underwriting requirements, supporting initial responses and next steps, keeping humans in the loop, and applying governance as agentic capabilities expand.