ISI INSIGHT | Agentic AI
What's Next for AI Agents
Insurers and MGAs have moved past early AI experimentation and are now asking harder questions about trust, readiness, adoption and where agentic AI can deliver the most value. In this four-part ISI INSIGHT series, Cameron Scott explores what it takes to move AI agents into production, from building on strong data and domain expertise to bringing underwriters along and configuring agents around each insurer’s biggest operational challenges.
ISI INSIGHT Quick Takes | What’s Next for Agentic AI
What’s the next big thing in agentic AI?
There is no single agentic workflow that transforms every insurer the same way. Cameron Scott explains why the next big thing depends on each carrier’s operational bottlenecks, from personal auto to specialty and large commercial. He also covers how configurable agents trained on an insurer’s own data can target submission triage, renewals, endorsements or first notice of loss, with the tools to govern and test them.
ISI INSIGHT Quick Takes | What’s Next for AI Agents
Beyond the demo. What’s agentic AI delivering in underwriting?
Speed and efficiency drove early AI experimentation, but trust is what moves AI into everyday underwriting. Cameron Scott explains why AI-assisted decisions must be explainable to regulators, reinsurers and policyholders. He also shares production results, including 98% plus submission accuracy, 67% of submissions processed through AI, and average time savings of 15 to 20 minutes per submission.
ISI INSIGHT Quick Takes | What’s Next for AI Agents
A better LLM. Is that really enough for agentic AI?
Agentic AI sets a higher bar than a better model alone can clear. Cameron Scott explains why clean, well-structured and well-governed data and deep insurance domain expertise are the foundations that matter most. He also covers why that expertise needs to be built in throughout development and deployment, not layered on afterward.
ISI INSIGHT Quick Takes | What’s Next for Agentic AI
How do you bring underwriters along as agentic AI changes the work?
Adoption depends on getting ahead of change management. Cameron Scott explains why successful deployments introduce AI as a digital companion that handles repetitive, lower judgment tasks rather than replacing the underwriter. He also covers how training, transparency, an easy way to question results, and ongoing validation and governance help build trust.
