What does it take to move AI beyond the pilot stage? This three-part ISI INSIGHT video series explores the decisions, lessons, and practical considerations insurance leaders need to address.
For insurers and MGAs, putting AI into production involves more than achieving strong technical performance. It requires clear accountability, effective human oversight, and an understanding of how AI can support everyday underwriting operations.
Drawing on highlights from the ISI INSIGHT webinar, “The Trust Threshold: From AI Potential to Operational Impact,” Keith Raymond of Celent, Lawrence Ngo of Ngo Consulting Partners, and Cameron Scott of ISI share their perspectives on overcoming implementation challenges and making AI work in real-world insurance environments.
Implications for Leadership
For insurance leaders, the priority is moving beyond individual AI use cases to delivering measurable business value. Key considerations include:
Prioritize business outcomes: Focus AI investments on opportunities that improve efficiency, decision-making, and operational performance.
Align teams and priorities: Bring underwriting, operations, and technology leaders together around shared objectives and accountability.
Define the role of people: Determine where human expertise, judgment, and oversight add the greatest value.
Plan for broader adoption: Consider how successful AI initiatives can extend across workflows and support long-term business objectives.
The opportunity is to move beyond isolated AI initiatives and establish a practical path to wider adoption.
Introducing the ISI Video Hub
This series is part of ISI’s new video hub, featuring perspectives from ISI experts and industry leaders on agentic AI, underwriting automation, core insurance systems, data strategy, implementation, and more.
