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August 10, 2026
A denial letter reads like a verdict written in another language. Not medically necessary. Prior authorization required. Non-covered service. Insufficient documentation. If you're newer to the U.S. healthcare system, the first problem usually isn't deciding whether the insurer got it wrong. It's working out what the insurer actually said.
August 3, 2026
Generative AI is genuinely good at making insurance easier to understand. It can translate dense policy language, compare options side by side, and help someone figure out what a denial letter actually means. That's real value, and it's why the industry has moved so fast: in a 2025 NAIC survey of 93 health insurers, 84% reported using AI or machine learning in some capacity.
July 27, 2026
Agentic AI sounds technical, but the idea is simple: instead of answering one question at a time, an agentic system works through several connected steps toward a goal.
July 20, 2026
Ask an insurance executive whether AI catches fraud better than people do, and the honest answer is usually a question back: better at what? That's not a dodge. AI and human investigators are good at fundamentally different things, and the difference matters — whether you're a policyholder whose claim just got flagged, an agent explaining a delay to a frustrated client, or a carrier deciding what to buy.
July 11, 2026
Artificial intelligence is no longer a future concept in insurance. Across the industry, it is already being used to answer customer questions, summarize policy language, detect fraud, support underwriting, route claims, compare plans, and help teams move faster. That is why regulation is changing.
June 17, 2026
A look at why insurance carriers struggle to scale AI and what separates the leaders from the laggards.