- Feedback surveys following training
- Focus groups or pilot testing for new tools
- Informal conversations with team leads about what’s working and what’s not
These signals help organizations spot knowledge gaps early and adjust communications accordingly. They also support a more adaptive approach to governance — one where education and oversight evolve in tandem with the increasing use of AI across the business.
Turning awareness into operational strength
As AI continues to integrate into everyday workflows, organizations must start investing in the awareness, understanding and behavior change needed to support AI governance. That means treating AI literacy as an enterprise competency, not just a compliance checkbox.
The risks of inaction are unintentional misuse, inconsistent adoption, growing regulatory exposure and erosion of trust in these new technologies. But the opportunity is just as significant. By enabling employees to recognize, question and engage responsibly with AI, organizations empower their workforce to innovate with clarity and confidence. That’s the real goal of AI enablement: not just protecting the business from what could go wrong but preparing it to move forward successfully in an AI-enabled world.
