The AI Problem Isn’t the Model. It’s the Knowledge.

As organizations move from AI assistants to AI agents capable of taking action, the quality of the knowledge behind those systems becomes increasingly important.

In a recent TechEchelon Executive Q&A, Career Highways CEO Liz Eversoll explains why smarter AI models cannot solve fragmented policies, outdated job descriptions, inconsistent rules, or critical knowledge that lives only in people’s heads. The foundation for useful AI is a governed source of truth that people and AI can understand and apply consistently.

Liz explores how Career Highways Skills Intelligence creates a living view of roles, skills, gaps, and career pathways, while SIGN™ and governed canon provide the enterprise knowledge layer underneath it.

The result is a different approach to enterprise AI—one built around consistent knowledge, explainable decisions, human oversight, and intelligence organizations can actually govern.

Read our article for the key insights from Liz’s TechEchelon interview and why the AI problem may actually be a knowledge problem.