The case for regulatory modernization alongside insurance innovation

These forces are compressing margins and intensifying the need for precise, risk-based pricing. Insurers can no longer rely on broad averages or backward-looking assumptions; they must reflect current and emerging risk conditions with greater accuracy and speed. The technology and data exist to accomplish this but the regulatory framework is not keeping up with the speed of innovation.

Meanwhile, consumer expectations are evolving. Policyholders increasingly expect pricing that is not only competitive but also transparent and explainable. Fairness and affordability are central to trust in the insurance system.

In this environment, timing becomes critical. When rate or model filings sit unreviewed for extended periods, insurers may be forced to write business at levels they believe are misaligned with risk. Pausing new business can strain distribution relationships and erode market presence, yet continuing to write underpriced risk creates its own financial pressures. Neither path is sustainable. Both underscore how closely regulatory timelines are now linked to business realities.

The case for regulatory speed

At its core, insurance regulation serves a vital purpose: ensuring that rates are not excessive, inadequate, or discriminatory. Regulators must balance actuarial soundness with transparency, consumer protection, and statutory compliance. This oversight is essential to maintaining trust and stability in the insurance market.

But in today's risk environment, timing has become just as important as rigor. When approval timelines stretch for months, insurers struggle to keep pace with rapidly changing conditions driven by catastrophe activity, reinsurance markets, or localized risk shifts. Delayed approvals can leave carriers relying on outdated assumptions even when more current data and models are available. It also stalls the launch of responsive products, which have gained traction in recent years, like parametric flood coverage. The hesitancy arises, largely out of the reliance of these products on near real-time data triggers, rather than traditional loss history that is part of insurance's DNA.

Timely regulatory review enables insurers to introduce new products, refine pricing, and adjust underwriting strategies in line with emerging risks. It also strengthens catastrophe preparedness by allowing carriers to incorporate the latest risk insights into their rating plans.

Regulatory speed is not about weakening oversight; it is about aligning regulatory processes with the accelerating pace of risk. When approvals move in step with market realities, insurers gain sustainability and predictability, while consumers benefit from more stable pricing and fewer abrupt corrections.

The regulatory landscape: How states differ

One defining feature of U.S. insurance regulation is its state-based structure. While this framework reflects local market conditions and consumer needs, it also creates a patchwork of regulatory approaches that can complicate innovation and speed-to-market for insurers operating across multiple jurisdictions.

States vary in how they review and approve rates and models. In some jurisdictions, insurers must receive regulatory sign-off before implementing changes, while others follow file-and-use or use-and-file frameworks that allow faster implementation, subject to later review. A smaller number apply flex-rating or limited filing requirements, often in certain commercial lines. Importantly, these approaches can also vary by line of business within a given state, adding further complexity for insurers operating across multiple markets.

These differences reflect legitimate policy choices and are not simply a byproduct of fragmentation. In its Securing Tomorrow: Advancing State-Based Regulation framework, the National Association of Insurance Commissioners (NAIC) has emphasized that the state-based model is intentionally designed to encourage experimentation and adaptability. As NAIC President Jon Godfread noted, the system allows individual states to serve as "labs of innovation," where regulators can test solutions, adapt approaches, and share lessons across jurisdictions.

However, for nationwide insurers, these differences can still translate into duplicative filings, inconsistent interpretations, and uneven approval timelines.

Capacity constraints add another layer. Departments of Insurance differ in staffing levels and access to specialized actuarial expertise. Because actuarial review is highly technical and resource-intensive, some jurisdictions rely on external consultants. While practical, this can introduce additional coordination steps and timelines.

Taken together, these dynamics do not signal a failure of regulation, but rather strain on a system designed for a slower, more stable risk environment. The challenge facing the industry today is not whether the state-based model should exist, but how it can evolve to maintain its strengths while operating at the speed required by today's rapidly changing risk landscape.

Key challenges in regulatory, risk model approval

Regulatory and risk-model approval present shared challenges for both technology providers and regulators. For vendors, one of the most persistent hurdles is repetition: a model may need to be justified separately in every jurisdiction where it is used. At the same time, regulators may encounter the same model multiple times as different carriers submit filings that rely on it. Because reviews are conducted independently — and often by different reviewers — questions, interpretations, and documentation expectations can vary.

Transparency introduces another layer of complexity. Regulators rightly seek visibility into how models function and how consumer outcomes are protected. Yet full public disclosure of proprietary methodologies can erode the competitive incentives that drive innovation. The practical path forward lies in a middle ground: providing regulators sufficient insight while allowing vendors to protect intellectual property.

The technical sophistication of modern models also raises the bar. AI, machine learning, and peril-specific analytics require detailed explanation, validation, and governance frameworks to demonstrate compliance with consumer fairness standards. Actuarial memoranda and validation studies are essential but resource-intensive.

Timing remains a persistent concern. Lengthy review cycles can delay product launches and model updates, sometimes leaving insurers unable to reflect current risk conditions on time.

These challenges reflect not a flaw in oversight, but the growing sophistication of the tools under review.

Insurers increasingly expect technology partners to support regulatory readiness by providing robust documentation, model transparency, and validation frameworks. While insurers retain full accountability for filings, the use of third-party data and models can introduce additional considerations that must be addressed during regulatory review. In response, some technology providers are proactively engaging with regulators and seeking pre-approval of methodologies where possible, helping to reduce uncertainty and streamline adoption. The result is a more collaborative dynamic in which insurers remain responsible for compliance, while technology partners play an important role in supporting clarity, consistency, and confidence in the filing process

Shifting dynamics: New collaboration models

Collaboration is emerging as a practical path forward. Consulting and actuarial firms continue to play a critical role in supporting regulatory readiness and multi-state filings.

At the same time, more technology firms are engaging directly with regulators to build familiarity and trust around new methodologies.

One notable development is the rise of pre-approval models across multiple jurisdictions. Rather than requiring repetitive filings, regulators can review a methodology once, creating a clearer pathway for broader adoption.

This approach reduces duplication, improves consistency, and makes more efficient use of regulatory resources. It also supports a shift from opaque "black box" models toward more transparent "clear box" approaches that emphasize explain-ability and governance.

A model in action

Recent collaborations between data providers, insurers, and actuarial advisors illustrate how pre-approval can work in practice. Property-level risk scores that evaluate specific perils — such as wildfire or fire suppression capability — have been pre-approved in numerous states, allowing insurers to incorporate them without repeating validation in every jurisdiction.

For carriers, this supports faster adoption of granular risk insights. For regulators, it reduces the need for repetitive review. For consumers, it can enable pricing that better reflects actual risk.

The broader takeaway is not any single model, but the collaborative framework behind it.

Regulatory modernization is the future

Momentum for modernization is building. Many industry observers now view regulatory lag as a primary barrier to real-time risk pricing. Increasingly, the conversation is shifting from whether regulation slows innovation to how it can enable it.

Regulatory sandboxes are one promising avenue. These controlled environments allow new models to be tested under regulatory supervision before broader rollout. Several pilots have shown that collaboration can accelerate innovation without compromising oversight.

At the same time, another dynamic is becoming increasingly visible across the industry: the growing role of artificial intelligence in regulatory workflows. Regulators themselves are investing in training and tools that help streamline analysis and improve efficiency, while insurers and technology providers are beginning to leverage AI to support drafting and documentation processes. Although few organizations publicly discuss the full extent of AI's role in filing preparation or review, it is increasingly understood that AI-assisted workflows can help reduce administrative friction — particularly in a resource-constrained ecosystem where both Departments of Insurance and carriers face staffing and workload pressures.

These developments do not suggest a shift away from human oversight. Rather, they indicate how technology may help both regulators and insurers manage growing complexity while maintaining rigorous standards of review.

Three trends point toward where the industry may be headed:

• Pre-approved model services that reduce duplication;
• Greater multi-state coordination; and
• Expanded use of regulatory sandboxes and AI-enabled workflows.

The opportunity ahead is clear. A more coordinated, technology-enabled system can preserve consumer protection while allowing insurers to innovate at the speed of risk.

For insurers, this means faster speed-to-market, lower compliance costs, and greater certainty. For consumers, it means more accurate pricing and sustained access to coverage, even in higher-risk regions.

Ultimately, insurance innovation depends not only on better data and more sophisticated models, but on the regulatory pathways that govern them. With collaboration, transparency, and thoughtful adoption of new technologies, regulatory approval can evolve from a bottleneck into a foundation for resilience and sustainable growth.

Sean Halverson is a Portfolio Advisor at Guidewire with more than 17 years of experience in the P&C insurance industry, specializing in insurance analytics, property risk intelligence, underwriting innovation, and regulatory approval strategies for emerging insurance models and products.

Any opinions shared here are the author's own.

(Featured image credit: 1STunningART/Adobe Stock)