Your First AI Employee: What to Delegate (and What Never To)

What is an AI employee?

It is a different relationship from a chatbot. You give it a role, a set of responsibilities, a quality bar and ongoing work, and it does the task every day whether or not you're watching. Optimising shifts from 'the prompt' to the job description, the tools it can reach, the guardrails around money and data, and how you check its work — that is management, not prompting.

Which job to hand over first

Choose by three filters: repetitive, measurable, and cheap to fix when wrong. Good first jobs are answering FAQ support, qualifying inbound leads, drafting quotes from a form, and reconciliation. Bad first jobs spend money, contact customers with final pricing alone, or require taste — start where a mistake costs a redo, not a disaster.

Write it a real job description

A good brief reads like a short employee handbook: the role in one line, responsibilities, tone, allowed sources, allowed actions, and the things it must always escalate. Add a definition of done and a citation rule. Keep it in one versioned document — when the employee errs, you fix the brief, not the mood.

Guardrails and least privilege

Give the employee exactly the access its job needs and nothing else: read before write, a draft folder before the send button, a hard spend cap on anything touching money, and an approval step on first contact with a customer. Log every action and its source — good logs are what let you hand over more responsibility with confidence.

Manage it like staff

Onboard with a shadow period where a human reviews every output, then step back as quality holds. Manage on a weekly scorecard: tasks, correct, escalated, failures. Promote slowly — add an adjacent task, not an unrelated one. And measure the return in hours reclaimed against the wage (model and hosting cost); a well-chosen first job usually returns ten to fifty times its cost.

Frequently asked questions