AI-Ready Data Foundation
The Problem with Most Agentic AI
The internet is flooded with open-source tools and APIs that promise to let anyone spin up an AI agent in minutes. And they do — but only for low-stakes tasks. These agents can draft emails, summarize articles, or organize your personal calendar. What they can’t do is operate safely or accurately in an enterprise setting.
Without Governance and Context, these DIY Agents:
Hallucinate
Generating confident but incorrect outputs
Leak sensitive data
By asking the wrong questions or sharing more than they should
Act on flawed logic
Because they lack shared context and a true understanding of your business
Ignore policy and compliance
Because they’re not built to respect internal rules or regulations
In short: these agents are smart enough to be dangerous, and brittle enough to break trust.
Why the Enterprise Is Different
Unlike consumers, enterprises can’t tolerate errors. When AI touches regulated data, recommends treatments, flags fraud, or generates compliance reports, the cost of being wrong is too high. You can’t afford a black box that can’t explain itself. You need AI that’s consistent, governed, and aligned with how your business thinks.
The Foundation Enterprise AI Needs
Enterprise-grade AI depends on more than just a powerful model. It requires a foundation—a consistent layer of meaning that connects data, content, and context across the organization. This foundation brings together:
- Enterprise models that define how the organization views the world
- Terminologies like taxonomies, glossaries, master and reference data
- Unified metadata and unstructured content
- Contextual links between business knowledge and operational data
- Policy frameworks that ensure governance, compliance, and trust
Why Knowledge Graphs Make the Difference
The power behind this foundation lies in knowledge graphs. Unlike traditional data models, knowledge graphs organize information in a way that’s flexible, dynamic, and built for AI. They:
- Link data and meaning across silos
- Enable machines to reason and infer relationships
- Power explainability and traceability for every AI action
- Provide context that improves accuracy and reduces hallucination
- Scale to support both operational decisions and generative AI use cases
Knowledge graphs make your data smarter—and your AI safer and more powerful.
TopQuadrant Is Your AI-Ready Data Foundation
TopQuadrant’s EDG platform is where enterprises build the foundation for trustworthy, contextual, enterprise AI. EDG delivers the core capabilities needed to operationalize safe, scalable, and intelligent agents:
Data quality and consistency as the starting point for intelligent automation
AI governance and policy enforcement embedded in the data layer
Semantic standards to reduce hallucinations and improve explainability
Rich metadata integration to connect knowledge, content, and structured data
Business-aligned models and vocabularies to ensure AI understands and acts with context
