If artificial intelligence is supposed to transform insurance, why isn't it showing up where it matters most?
That question sits at the center of a new white paper, Ultimate AI Strategy for Insurance, by Artem Gonchakov, CEO of Simplifai. The paradox is striking: 83% of insurers are spending at least $5 million annually on AI, and 14% are investing more than $50 million. Yet fewer than 15% report any material impact on their combined ratio.
According to Gonchakov, the problem isn't technological. "Insurance doesn't have an AI problem," he writes. "It has a strategy execution problem."
In other words, insurers are not failing to adopt AI. They are failing to apply it in ways that meaningfully improve financial performance.
The white paper says that most carriers are treating AI as a collection of disconnected tools rather than a strategic capability. AI initiatives are often spread across IT or innovation teams, producing isolated use cases: chatbots in customer service, machine learning in fraud detection, analytics in underwriting. While each may deliver incremental gains, they rarely connect in a way that improves enterprise performance.
"Nothing connects," the paper notes. "The expense ratio climbs. Cycle times stay flat. A more focused competitor starts taking share."
What separates the minority of insurers seeing real impact is not spending levels, but deployment strategy. These organizations embed AI directly into core workflows — claims, underwriting, and fraud detection — where it can influence end-to-end outcomes. Increasingly, they are using a new class of systems known as Agentic AI.
Unlike generative AI tools that assist humans with discrete tasks, Agentic AI systems can plan, reason, and execute full workflows under governance. This represents a structural shift in how insurance operations function. These systems can process claims from first notice of loss (FNOL) to payment or move underwriting submissions from intake to binding, all while maintaining audit-ready documentation.
This shift is critical because it enables measurable operational impact. The paper finds that carriers deploying workflow-integrated Agentic AI are achieving 30-40% productivity gains and 25-35% cycle-time reductions within 18 to 24 months. Those improvements translate directly into lower loss ratios, reduced expenses, and faster service in an industry where combined ratios hover near 99%, leaving just one cent of underwriting profit per dollar of premium.
The urgency is amplified by worsening market conditions. Insurers face rising catastrophe losses, more sophisticated fraud, tightening regulation, and intensifying competition from insurtech firms. In this environment, operational inefficiency quickly becomes a competitive liability.
Yet many organizations remain stuck in what the paper calls "digital transformation theater" — a broad set of initiatives that rarely deliver system-level change.
The core issue is misalignment between AI and business strategy. "When AI integrates strategic choices about which customers to serve and how to compete, it produces operating leverage that moves combined ratios," Gonchakov notes.
Regulation, often viewed as a barrier, is increasingly seen as a catalyst. Frameworks such as the EU AI Act, EIOPA guidelines, and NAIC model rules establish clear expectations for governance and transparency. Organizations that design for compliance from the outset are moving into production faster than those treating it as an afterthought. Governance, the paper argues, is not a constraint — it is an accelerator.
To bridge the gap between pilots and production, the white paper outlines a six-phase playbook: assess readiness, select proven partners, define early wins, measure financial value, scale systematically, and embed governance from day one. The emphasis is not on more experimentation, but on disciplined execution tied to financial outcomes.
The stakes are significant. As premium growth slows and combined ratios trend upward, insurers that fail to modernize risk losing ground to competitors already using AI to reduce costs, accelerate claims, and improve customer experience. Some carriers are now processing work in hours that previously took days.
Ultimately, the paper frames a clear choice: treat AI as a fragmented set of tools, or embed it into the core of insurance strategy.
(Featured image credit: Shutterstock)
Maura Keller is a Minnesota-based freelance writer and editor.
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