AI Tools for Actuarial Analysts
AI tools that help actuarial analysts model risk, analyze mortality tables, run financial projections, research regulatory changes, and prepare actuarial reports faster.
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Mortality and morbidity research
Pull peer-reviewed mortality studies, life tables, and epidemiological data to support pricing assumptions. Stay current with emerging longevity trends without manual literature searches.
Found 14 relevant studies. Key finding: mortality improvement rates slowed post-2020 with COVID-19 impact still observed. SOA's 2023 improvement scale shows 1.2% annual improvement for this cohort, down from 1.8% pre-pandemic.
Financial projection modeling
Run present value calculations, reserve estimates, and loss development projections. Validate assumptions with live interest rate data and scenario analysis.
IBNR reserve calculated: $4.2M. Ultimate loss estimate $18.7M against paid-to-date of $14.5M. Tail sensitivity: ±$320K per 0.01 tail factor change.
Regulatory and compliance monitoring
Track NAIC model law updates, state filing requirements, and rate regulation changes that affect pricing and reserving. Get summaries of enforcement actions relevant to your lines of business.
NAIC adopted updated LTC reserving guidelines in June 2025: new gross premium valuation methodology required by 2027, with interim disclosure requirements starting 2026. Affects carriers with $50M+ LTC exposure.
Catastrophe and natural disaster trend analysis
Research historical natural disaster frequency, severity trends, and climate data to support cat model calibration and reinsurance treaty negotiations.
Atlantic hurricane activity 2000–2025: 23% above historical average in named storm count. Insured losses averaged $38B annually post-2005, vs $12B pre-2000 baseline. Top 5 costliest years all occurred after 2017.
Interest rate and economic data tracking
Monitor Treasury yields, inflation data, and economic indicators that drive liability discount rates, asset-liability matching, and investment income assumptions.
Current 10-yr Treasury: 4.32%. 24-month range: 3.52%–5.01%. Fed funds rate at 4.25–4.50%. Yield curve inversion resolved in Q4 2024; steepening trend since supports improved new-money rates for P&C carriers.
Actuarial report drafting and research compilation
Compile data from multiple sources into structured actuarial reports and opinion memos. Synthesize academic literature, regulatory guidance, and market data into clear written summaries.
Compiled 8-source summary. Consensus ULAE loading range: 8–12% of ALAE. CAS research note (2024) recommends stratified ULAE approach by claim complexity. NCCI guidance updated March 2025 includes severity adjustment factors.
Ready-to-use prompts
Find the Society of Actuaries 2023 mortality improvement scale and summarize the improvement rates for ages 55–75, segmented by gender and smoking status.
Calculate the present value of a life annuity-due paying $2,500 monthly for a 65-year-old with a 3.75% valuation rate and using the 2017 CSO table.
Search for NAIC and state insurance department rate filing activity for personal auto insurance in California and Florida in 2025, including approved rate changes.
Research insured losses from wildfires in California and Texas from 2018 to 2025. Include frequency of events, total insured loss by year, and comparison to modeled expectations.
Pull daily 10-year and 30-year US Treasury yields for the past 12 months and identify periods of significant rate movement that would affect P&C reserve discount rates.
Find the latest CPI medical care component data for the past 3 years and compare it to overall CPI. Identify which subcategories (hospital, physician, drug) are driving the trend.
Search for actuarial literature on excess loss development in liability lines post-2020. Focus on social inflation impacts and nuclear verdict trends.
Pull the unemployment rate, GDP growth, and consumer price index for the last 8 quarters. Format as a table for use in a workers' compensation pricing model.
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Annual reserve review preparation
Assemble all external data needed for a year-end reserve opinion: economic indicators, industry loss benchmarks, and regulatory developments.
New product pricing research
Build the external research foundation for pricing a new insurance product: mortality/morbidity data, competitor analysis, and regulatory requirements.
CAT model calibration support
Gather external hazard and loss data to validate or challenge vendor catastrophe model outputs.
Frequently Asked Questions
Can AI tools replace actuarial judgment?
No — AI tools augment actuarial work by automating data gathering, literature searches, and routine calculations. Actuarial judgment, professional opinion, and regulatory accountability still require a credentialed actuary. These tools save hours of research time so analysts can focus on modeling and interpretation.
How current is the regulatory and economic data?
Regulatory Actions pulls live enforcement and filing data, and Finance Data sources real-time market rates. Economic data is typically published on a 1–4 week lag depending on the series. For actuarial reliance purposes, always cite the source date in your work product.
Can these tools help with exam prep or study research?
Academic Research can find peer-reviewed papers, textbook citations, and study materials relevant to actuarial exam syllabi. Deep Research can compile topic summaries. These are useful for self-study but should be validated against official exam study notes.
What financial calculations are supported?
The Financial Calculator supports DCF valuation, bond pricing, annuity present values, WACC calculations, and general time-value-of-money computations. For complex actuarial models (loss development, credibility weighting), it handles the arithmetic while you supply the actuarial assumptions.
How do I use these tools to support a reserve opinion?
Use Economic Data for trend factors, Finance Data for discount rates, Regulatory Actions to document any reserve-relevant regulatory changes, and Deep Research to benchmark industry loss ratios. Compile all findings into a documented assumption support file that backs your actuarial opinion.
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Works in Chat, Cowork and Code