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Insurance carriers are shifting from experimental pilots to enterprise‑wide deployments of generative AI, with immediate effects on claims speed, underwriting capacity and customer experience. In claims, AI models now ingest photos, repair estimates and police reports, summarise files, flag missing items and even draft settlement letters in seconds, cutting cycle times from days to minutes. Underwriting copilots extract key exposures from messy broker submissions, compare them to guidelines and can triple an underwriter’s throughput, while still keeping a human sign‑off for regulated pricing decisions.
A new wave of agentic AI is already surfacing. Guardian Life’s chief digital and technology officer, Steve Rullo, warned that AI agents are now calling insurers to verify benefits for whole lists of patients, demanding carriers handle interactions at AI speed. Guardian is responding by retaining humans in the loop but automating governance alerts to flag exceptions, a model other insurers are likely to emulate.
Regulators are keeping pace. The NAIC released version 5.0 of its AI Risk Evaluation Supplement in August 2026, with a final version slated for adoption at the November 2026 NAIC meeting, establishing a standard framework for AI governance examinations. Meanwhile, new ISO 2026 endorsements allow commercial liability policies to exclude generative‑AI‑related claims, underscoring the growing need for clear contractual language.
Why it matters: Faster claim resolutions improve customer satisfaction and reduce costs; underwriting productivity gains unlock capacity for new business; and agentic AI promises end‑to‑end automation of routine tasks, freeing staff for high‑value judgment. However, the rapid rollout raises governance challenges—ensuring human oversight, managing model hallucinations, bias and new liabilities.
What to watch next:
• Adoption rates of agentic AI solutions, with Celent forecasting one‑in‑five insurers in production by year‑end.
• Finalization of the NAIC AI Risk Evaluation Supplement and how insurers adjust their AI governance programs.
• Market response to ISO 2026 AI exclusions and the emergence of dedicated AI‑risk insurance products.
• Continued evolution of AI‑driven fraud detection versus synthetic fraud generation, shaping the next arms race in claims security. [[1]]