Use Case
Automated Actuarial Modeling with Alteryx One
Empower actuarial teams to prepare data faster, manage assumptions with governance, and orchestrate model runs across AXIS, Prophet, or Python without sacrificing transparency or control.
Empower actuarial teams to prepare data faster, manage assumptions with governance, and orchestrate model runs across AXIS, Prophet, or Python without sacrificing transparency or control.
Actuarial functions face compressed reporting cycles, new regulatory mandates, and constant reruns that strain overnight batch windows. Teams often spend more time wrangling data than producing insights, while spreadsheet macros and manual handoffs create risk. In fact, actuaries spend more than 50% of their time on data preparation (PwC, 2025). With Alteryx One, insurers cut manual prep by up to 80%, execute thousands of scenarios in governed workflows, and deliver regulator-ready reports with speed and confidence.
Legacy ETL scripts and spreadsheets slow ingestion of policy, claims, and ESG data.
Lack of version control for assumptions creates compliance and audit challenges.
Overnight batch choke points cause missed valuation deadlines.
Macros and siloed checks limit transparency and increase error risk.
Manual roll-forwards and spreadsheet mail-merges slow regulatory reporting.
Alteryx One integrates upstream data, manages assumptions with governance, and orchestrates execution across AXIS, Prophet, or Python without altering certified models. Automated validation highlights exceptions, while regulator-ready reporting outputs eliminate spreadsheet mail-merges. The result? Actuarial teams shift from firefighting to forward-looking analysis, with complete transparency for leadership and regulators.
Integrated data access
Standardizes and consolidates millions of records from policy, claims, reinsurance, and climate sources
Automated workflows
Runs governed workflows for assumptions, batch execution, and validation in a single platform
Advanced analytics & AI
Applies AI tools to assist with data prep, tolerance checks, and anomaly detection
Governance
Provides version control, audit trails, and transparent workflows for regulatory review
Reduced model preparation time
Improved data accuracy and control
Faster modeling cycles
in manual data prep
reduction in model cycle time
policies analyzed in a single run
We’re able to do in minutes what used to take hours, and that shift has completely changed how our teams think about problem solving.
Steve Konkol
Senior Manager, Business Experience Reporting and Analytics, TruStage Insurance
Read Customer Story
Automate ingestion and cleansing of policy, claims, ESG, and reinsurance data. This ensures AXIS and Prophet receive model-ready inputs without delays.
Maintain version-controlled catalogs of lapse rates, expenses, and discount curves. This gives regulators and auditors full confidence in the inputs driving results.
Run batch model executions across AXIS, Prophet, or Python with real-time monitoring. This eliminates overnight bottlenecks and accelerates scenario analysis.
Compare outputs against benchmarks and tolerance bands. This accelerates root-cause analysis and reduces error risk in actuarial reporting.
Generate IFRS 17, LDTI, Solvency II, and NAIC-compliant outputs in transparent, repeatable workflows. This reduces manual reporting burden while ensuring audit readiness.
