Your Data Catalog Isn’t Ready for AI—And It’s Slowing You Down

Most data catalogs were built for search. But AI, especially agentic AI, doesn’t just need to find data. It needs to understand it. Trust it. Act on it. And right now, most enterprises are flying blind.

Why AI Is Failing (and What No One Talks About)

Gartner says 80% of AI projects stall before delivering value. McKinsey reports that 40% fail due to bad or inaccessible data. It’s not your models. It’s your metadata. Legacy catalogs answer: “What exists?” AI needs: “What’s trusted?” “Where did it come from?” “Is this the right version?” “Can I use this safely?” If your catalog can’t answer those questions, you don’t have an AI foundation. You have a liability. Without machine-actionable context, agents can’t safely automate anything. So your AI ends up brittle, unscalable, or unused.

What Changes with TopQuadrant

TopBraid EDG turns passive metadata into AI-ready infrastructure:

• Governed, reusable data products
• Full data lineage and transformation context
• Semantic modeling that spans systems and domains
• Metadata designed for automation, not just documentation

It’s not a prettier catalog. It’s a foundation that lets your agents act with confidence.

The Payoff

Organizations using TopBraid EDG report:

• 5x faster AI deployment
• 30% lift in model performance
• Fewer compliance surprises
• More trust from data teams and leadership

Bottom Line: If your catalog can’t power agents, it’s obsolete.

You don’t need prettier dashboards. You need metadata infrastructure that agents can reason over, trust, and act on. TopBraid EDG delivers exactly that.

Ready to see where your catalog is falling short?

Our white paper walks through the hidden costs, real-world failures, and technical shifts enterprises must make to succeed with AI, not just experiment with it.