Which AI tools should our AI literacy training cover?
The ones your people actually use, which is rarely the list in the policy. Start with an inventory: approved services on company accounts, AI features inside software you already pay for, services staff use with personal accounts, and local models on developer or engineering machines. Then match training to use. Everyone needs the basics: what the approved tools are, what data never goes into any AI tool, why answers can be wrong, and how to report a problem. People who use AI on customer or personal data, in finance, HR or sales, need the data protection and confidentiality rules that apply to them. Developers need secure use of coding assistants and agents, including what those tools can access. Managers who rely on AI output in decisions need to understand its limits. Training on tools nobody uses wastes time; skipping the tools in daily use leaves the real risk untouched. From the Pro plan, NetSenX shows which external AI services and local model runtimes the company's devices reach, so the training list matches reality.
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