Mispricing compounds for 36 months between annual reviews.

Today, this core activity involves actuaries, product managers, and regulatory affairs teams. They define new products, analyze pricing models, file rates with state Departments of Insurance, and manage coverage forms. It’s a cost center that directly impacts future loss ratios. Mispriced products can take 18 to 36 months to correct, and filing backlogs extend rate adequacy delays by 6 to 12 months per cycle. This function directly sets what the carrier sells and at what price, making it a high-use area.

Guidewire Product Designer and Duck Creek Product Studio focus on streamlining product configuration and release. Moative’s Bastion platform complements these existing systems by adding a predictive layer. We focus on continuous actuarial pricing indications, market sensing, and Generative AI for drafting rate filing memoranda. While traditional systems manage the product lifecycle, Bastion identifies pricing drift in weeks, leveraging millions of loss transactions for dynamic adjustments. This allows for proactive rate adequacy rather than reactive corrections.

Traditional rate filing processes often suffer from long cycle times, contributing to significant financial impact from mispricing. Carriers typically undergo annual review cycles due to manual data consolidation and actuarial analysis. This results in 18 to 36 months for mispriced products to be corrected. Our models project that combining AI-driven analysis with existing workflows can shorten the detection of pricing drift from yearly reviews down to a few weeks, substantially reducing the financial exposure from inadequate rates.

AI currently shows high maturity in pattern recognition across massive datasets, making it ideal for detecting subtle pricing drift by analyzing millions of loss transactions. Generative AI is also emerging for drafting compliance documents like rate filing memoranda, reducing manual effort. Less mature areas involve fully autonomous product design or complex regulatory negotiation, which still require human oversight. Bastion focuses on augmenting actuaries with actionable intelligence, turning them into model reviewers who fine-tune AI-driven insights rather than solely operating spreadsheets.

Implementing the Bastion actuarial AI platform typically spans three to six months, depending on data integration complexity. The initial phase focuses on connecting to your claims, policy, and market data sources. Following this, the AI models are trained on historical data, and a validation period ensures accuracy against your existing actuarial methods. Deployment is iterative, starting with pilot programs on specific product lines before a broader rollout. Our goal is to provide continuous pricing indications within weeks, not months, post-initial setup.

Operating your own actuarial AI platform, like the Moative Bastion, gives proprietary control over critical pricing logic. While vendors such as Akur8 or Earnix offer solutions, building with a platform like Bastion allows deeper integration with existing core systems and custom model development tailored to unique risk appetites and market niches. This approach turns actuarial insight into a competitive advantage, continuously refined within your enterprise rather than relying on a black-box service. Our model projects higher long-term value and strategic flexibility.

Moative’s Bastion is designed for seamless integration with an insurer’s existing policy administration, claims management, and data warehousing systems. We use secure APIs and established data connectors to ingest millions of loss transactions, market data, and competitor filings. The platform then processes this information to generate continuous rate indications, which can be fed back into product configurators or rate filing software. The aim is to augment, not replace, current infrastructure, enabling actuaries to use AI without disrupting established workflows.

Our model projects a significant ROI for an actuarial AI platform, primarily driven by improved combined ratios and faster market responsiveness. By detecting mispricing in weeks instead of annual cycles, insurers can avoid prolonged periods of inadequate rates. The "Product + rate filings" activity, with a current operating margin of 0.55 and total profit of $1.5 billion, stands to benefit substantially. We project AI can contribute to a 0.25 increase in projected margin. Payback periods vary but are typically within 12 to 24 months, considering the high use of pricing accuracy.