As the global property and casualty (P&C) insurance market rapidly consolidates around acquired artificial intelligence capabilities, technology provider Insurity has issued a stark challenge to the sector. The defining question of the next decade, according to the company, is not whether insurance carriers have access to AI, but whether they actually control the intelligence that runs their businesses.
Insurity, a prominent provider of cloud-based software solutions tailored for insurance carriers, brokers, and managing general agents (MGAs), called on the broader insurance industry to fundamentally rethink who controls the core intelligence powering everyday operations. This intervention comes as core platform providers across the financial technology and insurance sectors race to acquire AI capabilities, embedding them directly into pre-existing systems. In response, Insurity is actively reaffirming its proprietary, AI-native strategy. This approach is designed to give individual carriers much greater control over their underlying models, sensitive data, and business-critical decisions, supported by independent governance and auditability frameworks that do not rely on any single AI model vendor.
This ongoing wave of technological acquisitions confirms a reality the insurance industry already widely recognizes: artificial intelligence is no longer a unique market differentiator in core insurance technology, but rather an absolute baseline requirement. As sophisticated AI becomes seamlessly embedded into sensitive operational areas such as underwriting, policy pricing, and claims management, the strategic ability to maintain control over the intelligence making those decisions—alongside the financial and operational cost of changing that intelligence—will increasingly dictate how individual insurers compete, innovate, and survive in a rapidly evolving marketplace.
"Every major technology shift in insurance has created a new form of lock-in, and AI is on track to create the most consequential one yet," said Jatin Atre, Chief Executive Officer of Insurity. "When a carrier’s underwriting judgment, claims triage, and pricing logic all run through a single vendor’s acquired model, that carrier hasn’t just bought software. It has handed part of its institutional judgment to someone else’s roadmap. We built Ratio on the opposite premise: AI-native from the ground up, with governance and control that aren’t dependent on any model. Carriers spent a decade learning what it costs to be locked into one core vendor’s release cycle. They shouldn’t have to relearn that lesson with AI, where the stakes are far higher."
The architecture of Insurity’s platform is specifically built to let carriers choose, combine, and change the large language models that power their daily workflows. Whether utilizing today’s leading AI models or anticipating emerging technologies yet to enter the broader commercial market, carriers can make these adjustments without having to completely re-architect their workflows or sacrifice their historical audit trails. A dedicated governance and audit layer operates independently of any individual model, allowing insurance organizations to maintain strict oversight over how artificial intelligence interacts with complex insurance workflows, executes routine business actions, and delivers automated decisions.
Under this framework, every automated decision runs through the same governed, carrier-controlled environment, regardless of which specific model is handling the underlying reasoning at any given moment. Consequently, a carrier’s long-term competitive advantage accumulates securely within its own proprietary data, specialized business rules, and historical decision-making records, rather than remaining trapped safely inside a technology vendor’s proprietary black box.
The timing of this debate is crucial for the industry. Frontier artificial intelligence models now improve on an innovation cycle measured primarily in months, whereas traditional core insurance software systems are typically replaced on a strategic cycle measured in decades. Fusing these two radically mismatched timelines together creates a profound structural hazard, running the distinct risk of leaving insurance carriers trapped running yesterday’s obsolete intelligence long before their long-term technology vendor contracts officially expire.
To navigate this complex transition safely, Insurity is actively encouraging insurance carriers, industry regulators, and strategic partners to rigorously test any AI-enabled core platform against three critical operational and strategic measures: portability, accountability, and economics. Under these evaluation criteria, carriers should demand the genuine ability to change their underlying models without having to rebuild core workflows or lose the regulatory governance surrounding them. They should be able to precisely trace every single AI-driven decision back to the specific models, raw data, and underlying business rules involved. Furthermore, insurers must fully understand the operational cost of artificial intelligence on a per-decision basis, alongside the clear financial implications of changing their technology providers in the future.
These capabilities are expected to become increasingly vital as insurers seek to apply artificial intelligence to ever more complex operations while maintaining absolute control over how those critical decisions are executed and governed.
As autonomous AI agents take on a rapidly growing share of routine underwriting, customer servicing, and claims processing work, attributes such as operational trust, transparent governance, and systemic visibility will matter just as much as the raw computational power of the models themselves. Insurity’s ongoing strategy aims to help carriers prepare for this complex future by providing deeper visibility into how decisions are formulated, which specific models are being utilized, and what financial or operational resources it takes to change course. By doing so, the company hopes to enable insurers to scale their use of artificial intelligence effectively without inadvertently inheriting an entirely new generation of restrictive vendor lock-in.
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