--- title: "How Mercury Insurance is creating PII-free workspaces for AI use cases" url: "https://atlan.com/regovern-watch-center/pii-free-workspaces/" description: "Ashish Bisht from Mercury Insurance explains their 12-month goal: using AI to classify sensitive data and create high-quality, PII-free workspaces." keywords: "atlan, data governance, regovern 2025, regovern watch center" --- > Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/ **How Mercury Insurance is creating PII-free workspaces for AI use cases** is a Re:Govern 2025 session video in the Atlan Re:Govern watch center. Ashish Bisht from Mercury Insurance explains their 12-month goal: using AI to classify sensitive data and create high-quality, PII-free workspaces. Watch it at https://atlan.com/regovern-watch-center/pii-free-workspaces/ (email required to keep watching). All sessions: https://atlan.com/regovern-watch-center/ ## Speakers - **Ashish Bisht**, Sr. Manager, Data Governance, Mercury Insurance. Leading data governance initiatives at Mercury Insurance, Ashish is creating PII-free, high-quality workspaces that make AI governance automatic rather than manual. Through AI-enabled classification and quality tools, he's proving that the fastest path to responsible AI is intelligent automation. ## Companies - **Mercury Insurance**: With 4,300 employees and 63 years serving California, Mercury Insurance ($5.5B revenue) is rebuilding data foundations for AI. Their approach: use AI to classify sensitive data and build high-quality AI workspaces. ## What's inside 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 ## More from Re:Govern 2025 - [CME Group: Context at Speed](https://atlan.com/regovern-watch-center/cme-group-context-at-speed/) (session recording) - [Mastercard: Context by Design](https://atlan.com/regovern-watch-center/mastercard-context-by-design/) (session recording) - [Workday: Context as Culture](https://atlan.com/regovern-watch-center/workday-context-as-culture/) (session recording) - [Why Workday is Building a Semantic Layer](https://atlan.com/regovern-watch-center/workday-building-semantic-layer/) (highlight) - [Workday's Learnings From its First Talk to Data experiment](https://atlan.com/regovern-watch-center/workday-talk-to-data-learnings/) (highlight) - [How Workday Connects Context Across Business Tools](https://atlan.com/regovern-watch-center/how-workday-connects-context/) (highlight) - [How Mastercard Designs Context at Scale](https://atlan.com/regovern-watch-center/how-mastercard-designs-context/) (highlight) - [Mastercard's Federated Architecture for Agentic Commerce](https://atlan.com/regovern-watch-center/mastercard-federated-architecture/) (highlight) - [How Protocols and Tools are Evolving for Agentic Governance](https://atlan.com/regovern-watch-center/protocols-agentic-governance/) (highlight) - [How Data Roles are Evolving: From Modelers to Context Engineers](https://atlan.com/regovern-watch-center/data-modelers-to-context-engineers/) (highlight) - [The Evolution of Trust: Building the Foundations for Future-Readiness](https://atlan.com/regovern-watch-center/evolution-of-trust/) (session recording) - [GitLab's Strategies for Building Reliable Conversational Analytics](https://atlan.com/regovern-watch-center/gitlab-conversational-analytics-strategies/) (highlight) - [AI-Ready Tech Pioneers Share their Single Most Effective AI Readiness Strategies](https://atlan.com/regovern-watch-center/ai-readiness-strategies-pioneers/) (highlight) - [GitLab's Learnings from its First Experiment with Conversational AI](https://atlan.com/regovern-watch-center/gitlab-conversational-ai-learnings/) (highlight) - [Vimeo's Approach to Data Governance in the Era of Conversational Analytics](https://atlan.com/regovern-watch-center/Vimeo-approach-to-data-governance/) (highlight) - [Inside General Motors Metadata Lakehouse](https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/) (highlight) - [Workday's Semantic Layer Strategy](https://atlan.com/regovern-watch-center/workday-semantic-layer-strategy/) (highlight) - [Modern Data & AI Governance Blueprint](https://atlan.com/blueprint) (resource)