Mercury Insurance recognizes AI drives productivity for coding and dashboards, but faces two questions: Are we still compliant and protecting customer data? Can we trust AI insights from our tables? Their solution: AI-enabled data governance that uses AI tools to classify and tag sensitive data visible in Atlan, driving responsible usage and data quality while creating PII-free workspaces that make model governance simpler.
Key takeaways:
AI productivity gains (coding, dashboards) create two core questions: compliance with customer data protection and trust in AI-generated insights
AI-enabled data governance uses AI tools to solve AI governance challenges through automated classification and quality checks
Data classification and tagging makes sensitive data visible to users, encouraging responsible and compliant usage patterns
High-quality, PII-free workspaces simplify AI and model governance by removing compliance complexity from experimentation environments
The 12-month roadmap focuses on tangible outcomes: workspaces where teams can use AI without navigating sensitive data minefields
