Customer data is the highest-risk, highest-impact fuel for AI, and the easiest to get wrong. One incorrect field or outdated attribute can ripple through personalization, scoring, and support workflows within seconds. In the latest Metadata Weekly edition, Michele Nieberding digs into what it really takes to build AI agents you can trust with customer data. She breaks down the two foundations teams can’t ignore: ➡️ Governance — ensuring data is accurate, compliant, and purpose-aligned ➡️ Context — giving AI a deep semantic understanding of what the data means Her article covers everything from lineage as a non-negotiable to purpose-aware access, data minimization, and how to build the intelligence layer AI actually needs. If you’re building customer-data AI or experimenting with agents, you’ll want to read this one. ✉️ Read the full article on Metadata Weekly: https://metadataweekly.substack.com/p/building-ai-agents-you-can-trust