A panel moderated by Max Richter, EMEA CEO at mea Platform, explored how leading organisations including Citi and Swiss Re are moving AI beyond experimentation into measurable operational impact. The discussion highlighted that while AI can fundamentally compress insurance workflows and unlock major efficiency gains, long-term success depends on trusted data, continuous governance, and the ability to drive organisational change at scale.
The brokers expanding margin today are not experimenting with AI; they are using it to execute work, and the impact is showing up directly in producer throughput. This is how broker firms should be thinking about operations in the AI era.
Elliott Bundy and Subhasis Mukherjee’s conversation at Datos discussed agentic AI in operations and it’s impact; some key takeaways for insurance leaders? Back-office overhead consumes roughly 12 to 14 points of combined ratio at a typical (re)insurer. If you are competing on back office, you are probably losing.
How should (re)insurance operators should measure success when AI owns the workflow? See where Agentic AI fits into the workflow today and why it necessitates a new set of KPIs.
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
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
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
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.
