---
title: "How General Motors Gamified Metadata Enrichment"
url: "https://atlan.com/regovern-watch-center/gm-metadata-enrichment-gamification/"
description: "Sherri Adame from GM explains how they gamified metadata quality with completeness scores, turning governance from policing into a competition."
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 General Motors Gamified Metadata Enrichment is a video from Re:Govern 2025, published in Atlan's Re:Govern Watch Center. Sherri Adame from GM explains how they gamified metadata quality with completeness scores, turning governance from policing into a competition.

Watch it at https://atlan.com/regovern-watch-center/gm-metadata-enrichment-gamification/ (free; the page asks for an email after two minutes of viewing).

## 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.

## Companies

- **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 doesn't police metadata quality — they gamify it. By deploying metadata completeness scores in their catalog with clear guidance on how to reach 80 points, they transformed governance from a compliance burden into something engineering teams compete to win at, especially for high-risk data sources with PII or SPI that require higher standards.

Key takeaways:

- Gamification works better than policing — teams compete to have the best scores and show off high-quality datasets
- Clear standards matter: publish exactly what metadata is required to hit minimum thresholds (like 80 points)
- Scores create transparency without judgment — it's not "good or bad," it's "here's where you are and how to improve"
- High-risk data sources with PII/SPI require higher standards, which scoring systems make explicit and measurable
- Engineering teams naturally want to be the best — scoring taps into that competitive energy to drive adoption

## Related

- [Contracts, Context, and Cars: General Motors' Governance Blueprint for the Agentic AI Era (session recording)](https://atlan.com/regovern-watch-center/contracts-context-and-cars-general-motors/)
- [General Motors Proactive Governance Approach](https://atlan.com/regovern-watch-center/gm-proactive-governance/)
- [Inside General Motors Metadata Lakehouse](https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/)
- [All Re:Govern 2025 sessions and highlights: the Re:Govern Watch Center](https://atlan.com/regovern-watch-center/)
- [Book a demo of Atlan](https://atlan.com/forms/talk-to-sales-contact/)