As artificial intelligence becomes part of everyday work, many organizations are discovering that successful AI adoption depends on much more than choosing the right model or software. In this Education Week article, Krazimo CEO Akhil Verghese highlights a core issue that applies far beyond schools: employees are often already experimenting with AI tools, but leadership has not always provided the policy, guardrails, and structured support needed to use those tools safely and effectively. That gap creates risk. It can lead to inconsistent usage, weak oversight, unclear accountability, and avoidable compliance problems.
The broader lesson for businesses is clear. AI readiness is not just a technical problem. It is an organizational capability. Companies need teams that understand the basics of large language models, prompting, privacy, appropriate use, and human review. They also need leadership-level decisions about where AI should be used, what data it can access, when outputs require approval, and how success should be measured over time. In other words, real AI adoption depends on AI literacy, governance, training, and policy as much as it depends on software.
This is one of the most important shifts happening in enterprise AI right now. The companies that succeed will not just be the ones that buy tools first. They will be the ones that build an AI-literate workforce, define responsible usage clearly, and create repeatable systems for deploying AI in day-to-day operations. For any organization thinking seriously about responsible AI implementation, AI upskilling, enterprise AI governance, or workforce training for AI adoption, this article is a useful reminder that strong leadership and clear policy are becoming essential.
Read the full article here.