From mainframe to AI-powered maturity: Verisk's data modernization journey
Summary
Verisk's underwriting data team moved from a mainframe to Snowflake notebooks, then native Snowflake objects, and finally dbt, which replaced hundreds of hand-coordinated tasks and tables with version-controlled models, self-documenting lineage, and tests that halt a pipeline before bad data reaches actuaries. That governed foundation now supports AI-assisted work, including a custom dbt Wizard skill that propagates doc-block descriptions across the DAG and a standards skill that checks pull requests, all with a human in the loop.
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