AI initiatives often struggle to scale because the underlying information is fragmented, inconsistent, or poorly governed. Without a strong knowledge management foundation, AI systems cannot deliver accurate, compliant, and actionable results.
In this article for CustomerThink, Seth Earley explores how organizations can overcome these challenges by creating a structured knowledge layer that connects systems, unifies data, and makes information findable and usable across the enterprise. The piece examines the risks of disconnected content and siloed teams, especially in regulated industries, and explains how well-designed information architecture supports AI systems that are compliant, context-aware, and scalable.
The article also looks at practical approaches for leaders to assess readiness, prioritize high-value use cases, and build governance into AI programs from the start. By taking these steps, organizations can reduce risk, accelerate adoption, and achieve meaningful outcomes with AI.
Read the full article on CustomerThink:
You Can’t Scale AI Without Knowledge Management: A Strategic Roadmap for Leaders