How to Test AI in Enterprise Architecture Tools

A plain, repeatable way to test AI assistants and agents in EA tools: source proof, accuracy, repeatability, permissions, human review, audit and recovery.

In this analysis

• Start with the job, not the feature name
• Build a fixed test pack
• The 100-point scorecard
• 1. Source proof: can you check every claim?
• 2. Accuracy: did it preserve the meaning?
• 3. Repeatability: does the answer stay stable?
• 4. Missing and conflicting data: does it admit uncertainty?
• 5. Permission safety: what can the agent reach and change?
• 6. Human review and recovery: where can a person stop it?
• 7. Audit and monitoring: can another person reconstruct the run?
• Test the products, not the promises
• A simple decision rule
• Vantograph’s view

Compare EA platforms on AI capability

Related analysis

• Ardoq’s Eight Architecture Agents Move Beyond Chat
• MCP’s New Roadmap Makes Agent Identity an Enterprise Architecture Concern
• The EA Tool Evaluation Scorecard: A Weighted Framework You Can Defend

AI in Enterprise Architecture Tools: A Practical Accuracy Test — Vantograph