Insurance carriers allocate substantial resources to the high-stakes hunt for peer pricing—a critical, resource-heavy exercise in market positioning. Traditionally, this required actuaries to manually parse hundreds of rates over several weeks. Now, agentic artificial intelligence (AI) can autonomously reverse-engineer regulatory rate filings in a fraction of the time. Explore how our 10X Analyst platform built on Amazon Web Services (AWS) services leverages agentic AI to transform competitive pricing analysis for insurance organizations.
Insurance pricing is among the most complex analytical domains in financial services. A single rate manual—like for long-term disability (LTD) insurance—contains hundreds of pages of interdependent variables, including occupation classes, adjustment multipliers and benefit offsets. For carriers seeking to understand peer strategies, extracting this data demands deep expertise and substantial time. Unfortunately, traditional pricing analysis falters against such complexity. Manual reviews are error-prone, and spreadsheet models require exhausting maintenance. Even experienced actuaries may spend two to four weeks analyzing a single competitor's pricing approach. Multiplied across dozens of market participants and product lines, this grueling, labor-intensive process can quickly become a prohibitive resource burden for any organization.
Our new 10X Analyst platform uses agentic AI to analyze a rate manual filed by an insurer and produce a step-by-step reconstruction of the pricing algorithm. For each step in the calculation, the system identifies the data dependencies required, the mathematical equations used and special considerations or edge cases that affect the calculation.
This reverse-engineering capability transforms opaque rate filings into transparent pricing analysis and actionable intelligence. Product managers can understand how competitors structure their pricing. Actuaries can identify where their own assumptions differ from market practice. Underwriters can see how specific risk factors affect competitor rates.
Beyond analyzing individual filings, the 10X Analyst platform can generate comprehensive side-by-side comparisons across insurers that expose structural differences in carrier pricing strategies, revealing core insights that would take weeks to compile manually. The following competitive pricing analysis between two major LTD carriers demonstrates how this agentic AI system instantly highlights methodological divides, key distinctions and shared commonalities:
Rate filings contain extensive tabular data, such as incidence rates by age and gender, termination rates by duration, industry factors by SIC code and geographic adjustments by state. The 10X Analyst platform automatically extracts these tables, interprets their structures and integrates them into the insurance pricing algorithm analysis. This capability is essential for understanding how specific parameters affect final rates and for performing comprehensive actuarial analysis on key assumptions.
Agentic AI offers a generational shift in analytical capability. For insurance organizations, the ability to rapidly understand and respond to competitive pricing dynamics creates sustainable advantage. Those that embrace these technologies early can establish analytical capabilities that compound over time—building market intelligence assets, developing institutional knowledge and creating feedback loops that continuously improve competitive positioning.
Download our “Agentic AI: Transforming pricing analysis in insurance” report for more insights into how agentic AI can help you reduce weeks of manual analysis to minutes.