Why Scaling AI Without a System of Information Management Increases Risk Instead of Intelligence
AI maturity depends on more than model sophistication or data volume; it requires a system that governs meaning, lineage, and accountability. Without such a system, AI amplifies existing information weaknesses, scaling ambiguity and operational risk. Failures attributed to AI models are often symptoms of missing information defensibility. Existing analytics success can conceal these structural vulnerabilities until AI is introduced at scale. Recognizing this dependency reframes AI investment as a system challenge rather than a tooling issue.