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The insurance industry has carried the weight of operating costs for decades — 12–18 points of every combined ratio lost to processes that add little differentiation. Generic automation couldn’t fix it. Now, domain-specific

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In a softening commercial-insurance market, with global rates down 4% in Q2 2025, operational efficiency has become the key lever for profitability. Accenture projects that 62% of working hours in (re)insurance could be transformed by AI. Insurers who adopt domain-specific AI language models and automate entire workflows from submission to claims are seeing expense-ratio reductions of up to 65% and underwriting-capacity increases of 40%. The window for transformation won’t stay open indefinitely — the winners move now. Read More at : The AI JournalClick here for the full article

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DA Strategy goes beyond traditional advisory, partnering with innovators like mea to bring AI-powered automation to MGAs, boosting productivity, reducing costs, and accelerating growth.
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Solving Insurance’s Biggest Bottleneck By Martin Henley, CEO, and Mike McGavick, Board Chairman

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Over the past three years, unstructured data AI ingestion has evolved into a distinct, scaled, and indispensable software category within the insurance industry. While adoption is accelerating, the technology has already proven its value, delivering measurable impact at scale.

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There’s no denying that insurtechs have some impressive technology, which can (and does) give insurers new capabilities.

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Deciding to build with ChatGPT vs selecting a Vendor for data extraction

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Transforming the Insurance Industry: Solving a $400bn+ Problem

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Selecting a Gen AI Vendor for Insurance Data Extraction: Where to Invest and Where to Be Cautious