AI employee basics

How to hire your first AI employee

Your first AI employee should not run your business. It should handle one clear, repeatable workflow that you can review quickly.

Most people start with AI by asking random questions. That creates random output. A better approach is to treat AI like a junior employee: give it a role, context, rules, examples, and a review loop.

1. Pick one boring workflow

Start with work that happens often, uses language, and is easy to check. Good first roles include inbox assistant, proposal assistant, lead research assistant, support drafting assistant, or admin summary assistant.

2. Write the briefing document

Your AI needs business context: what you sell, who your customers are, your tone, your policies, common questions, and what it must never do. This is the difference between a toy chatbot and a useful worker.

3. Set approval rules

For the first version, AI should draft and organize. A human should approve customer messages, pricing, promises, refunds, legal decisions, and sensitive actions.

Safe default: AI drafts → human reviews → human sends. Automation comes later, after the workflow is reliable.

4. Test with real work

Use real emails, notes, support questions, or discovery calls. Rate the output: what was useful, what needed editing, what was risky, and what instruction would prevent the mistake next time.

5. Save the SOP

When the workflow works, document it. Save the trigger, inputs, prompt, output format, review checklist, and improvement notes. That SOP is the real asset.

What to do next

If you want a guided process, the Hire Your First AI Employee playbook walks through this setup in 7 days with prompts, worksheets, approval rules, and checklists.