AI Training for Employees

01What employees should learn first

AI literacy is not about how neural networks work. For most staff it comes down to five skills:

1. What an AI assistant is. It predicts likely text from what it was given. That makes it fast and fluent, and also able to be confidently wrong.
2. How to give it context. Who the answer is for, what good looks like, which document to use. Many bad answers start with a vague request.
3. How to work with real files. Documents, PDFs and spreadsheets: summarize, compare, extract, draft, clean up.
4. How to check the result. Ask for sources, verify numbers and names, and read before sending.
5. When not to use it. Decisions about people, anything the policy forbids, anything nobody will review.

02Safe use with company data

The quickest way to get AI training wrong is to teach clever prompts and skip the data rules. A simple model that is easy to remember: three classes of data.

• Public: anything already on your website or in published material. Fine for any approved tool.
• Internal: plans, internal email, non-sensitive documents. Only in tools the company has approved for business use.
• Confidential: client, patient, employee and case files, contracts, passwords and keys. Never in a public AI service. If staff need AI on this data, it must run on systems the company controls.

That last rule is why some companies choose private AI on their own server: staff get the same kind of help without the data leaving the building.

03Rules people actually follow: the usage policy

A usage policy only works if it fits on a page or two and people helped shape it. The policies we write with you cover:

• which tools are approved, and for what;
• the three data classes, with examples from your own work;
• when a person must review AI output before it reaches a client, a patient or the public;
• how to label AI-assisted work where that matters;
• how to report a wrong or harmful answer, and who fixes the prompt or the tool.

04A prompt library the team owns

Every team repeats a set of tasks week after week. A shared prompt library turns the best version of each into something everyone can reuse: the instruction, the context to attach, an example of a good result and the check to run before using it. It is organized by role, lives where your team already keeps documents, and gets better as people improve it.

05How to roll AI training out across a team

1. Pick the tasks. Ask each role for three to five tasks that take the most time and would be safe to try with AI.
2. Set the rules first. A leadership session agrees approved tools, data classes and review points.
3. Train hands-on. Staff practise on those tasks, with their own material where allowed.
4. Publish the policy and the prompt library the same week, while the training is fresh.
5. Name an owner for each, so questions and new prompts have somewhere to go.
6. Go deeper where it pays. People who will automate or build take one-to-one courses; see AI classes in Denver.

For individual employees who want to go further on their own, two Level 1 courses fit best:

course/everyday-work

AI for Everyday Work

Context, instructions, documents, PDFs and spreadsheets: AI that does real work in your day.

Level 1 · Use AI at work4 weekly 1:1 sessions

$690PayAsk

course/documents-data

AI Documents & Data

Interactive reports and presentations, messy spreadsheets cleaned and cross-checked by a second agent.

Level 1 · Use AI at work4 weekly 1:1 sessions

$690PayAsk

06Questions about AI training for employees