--- title: "Contracts, Context, and Cars: General Motors' Governance Blueprint for the Agentic AI Era" url: "https://atlan.com/regovern-watch-center/contracts-context-and-cars-general-motors/" description: "Sherri Adame, Enterprise Data Governance Leader at GM, shares how America's leading automaker is reengineering governance for AI." 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/ **Contracts, Context, and Cars: General Motors' Governance Blueprint for the Agentic AI Era**: a session recording from Re:Govern 2025 (online, Nov 4-5, 2025), in the [Re:Govern 2025 watch center](https://atlan.com/regovern-watch-center/). Sherri Adame, Enterprise Data Governance Leader at GM, shares how America's leading automaker is reengineering governance for AI. The recording plays on the page after a short preview, then an email form unlocks the rest: [watch at https://atlan.com/regovern-watch-center/contracts-context-and-cars-general-motors/](https://atlan.com/regovern-watch-center/contracts-context-and-cars-general-motors/). ## Speakers - **Sherri Adame**, Enterprise Data Governance Leader, General Motors. Sherri transformed GM's governance from "hunting teams down" to having teams seek her out. Through shift-left automation, data contracts, and transparent metrics, she's proven governance is a product that delivers value - now leading GM's evolution from traditional manufacturing to AI-powered, software-defined vehicles. ## Company **General Motors.** America's largest automaker transitioning from manufacturing to software. GM is investing $10.9B in Databricks and Google Cloud to power its mission of software-defined vehicles targeting zero crashes, zero emissions, zero congestion by 2035. ## What's inside General Motors spent a century perfecting cars and now perfects software and AI. Sherri reveals how GM is building a governance model for the agentic AI era - moving from reactive controls to automated data contracts, expanding from data to AI governance, and creating a unified foundation that powers everything from connected vehicles to predictive manufacturing. Key takeaways: - Data contracts automate governance expectations instead of relying on reactive controls and manual checks - AI governance requires expanding beyond data to include models, datasets, and agent behavior with unified frameworks - Automotive transformation demands governance embedded in production systems, not bolted on afterward - Connected vehicle telemetry and predictive manufacturing require trusted data pipelines with automated quality checks - Ecosystem-first approaches across Databricks, Microsoft, and Atlan enable governance that scales with business complexity ## Session chapters 1. From reactive controls to automated contracts: How GM uses data contracts to automate governance expectations. 2. Expanding governance to models and agents: Building unified frameworks for data, models, and AI agents. 3. Embedding governance into production systems: How governance supports automotive transformation from the inside out. 4. Powering connected vehicles and predictive manufacturing: Using automated quality checks and telemetry to ensure trusted pipelines. 5. Ecosystem-first collaboration: Scaling governance through partnerships with Databricks, Microsoft, and Atlan. ## More from Re:Govern 2025 - [DigiKey: Context Readiness](https://atlan.com/regovern-watch-center/digikey-context-readiness/) (Session Recordings) - [CME Group: Context at Speed](https://atlan.com/regovern-watch-center/cme-group-context-at-speed/) (Session Recordings) - [Mastercard: Context by Design](https://atlan.com/regovern-watch-center/mastercard-context-by-design/) (Session Recordings) - [Workday: Context as Culture](https://atlan.com/regovern-watch-center/workday-context-as-culture/) (Session Recordings) - [How Regulated Business are Moving Governance Beyond Compliance](https://atlan.com/regovern-watch-center/regulated-industries-beyond-compliance/) (Highlights) - [Workday's Learnings From its First Talk to Data experiment](https://atlan.com/regovern-watch-center/workday-talk-to-data-learnings/) (Highlights) - [Mastercard's Federated Architecture for Agentic Commerce](https://atlan.com/regovern-watch-center/mastercard-federated-architecture/) (Highlights) - [How Protocols and Tools are Evolving for Agentic Governance](https://atlan.com/regovern-watch-center/protocols-agentic-governance/) (Highlights) - [How CME Group Evaluated Vendors for its Context Layer](https://atlan.com/regovern-watch-center/cme-group-evaluation/) (Highlights) - [How DigiKey uses Atlan as a Context Operating System](https://atlan.com/regovern-watch-center/digikey-atlan-context-operating-system/) (Highlights) - [How Data Roles are Evolving: From Modelers to Context Engineers](https://atlan.com/regovern-watch-center/data-modelers-to-context-engineers/) (Highlights) - [How Mastercard is Building AI-Ready Data Products](https://atlan.com/regovern-watch-center/mastercard-ai-ready-data-products/) (Session Recordings) - [The Evolution of Trust: Building the Foundations for Future-Readiness](https://atlan.com/regovern-watch-center/evolution-of-trust/) (Session Recordings) - [Top-Down or Bottom-Up: The World's Largest Exchanges Show Two Paths to AI](https://atlan.com/regovern-watch-center/top-down-or-bottom-up-cme-dbg/) (Session Recordings) - [What Forced Mastercard to Modernize Its Context Stack](https://atlan.com/regovern-watch-center/mastercard-context-stack-modernization/) (Highlights) - [How Mercury Insurance is creating PII-free workspaces for AI use cases](https://atlan.com/regovern-watch-center/pii-free-workspaces/) (Highlights) - [GitLab's Strategies for Building Reliable Conversational Analytics](https://atlan.com/regovern-watch-center/gitlab-conversational-analytics-strategies/) (Highlights) - [AI-Ready Tech Pioneers Share their Single Most Effective AI Readiness Strategies](https://atlan.com/regovern-watch-center/ai-readiness-strategies-pioneers/) (Highlights) - [GitLab's Learnings from its First Experiment with Conversational AI](https://atlan.com/regovern-watch-center/gitlab-conversational-ai-learnings/) (Highlights) - [Vimeo's Approach to Data Governance in the Era of Conversational Analytics](https://atlan.com/regovern-watch-center/Vimeo-approach-to-data-governance/) (Highlights) - [Inside General Motors Metadata Lakehouse](https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/) (Highlights) - [Workday's Semantic Layer Strategy](https://atlan.com/regovern-watch-center/workday-semantic-layer-strategy/) (Highlights) - [Modern Data & AI Governance Blueprint](https://atlan.com/blueprint) (Resources)