A digital employee is software assigned to own a job, not a chat window you keep prompting. It watches for new work, follows the operating rules for its role, uses the systems that role depends on, and stays with a process until there's a result or a decision that needs a person.

"Digital employee," "AI employee," "AI worker," and "AI staff" all describe roughly the same operating model, and different vendors pick different labels for it. The label matters less than the operating details: what work the system can finish end to end, what context persists across cases, which actions it can take on its own, how a person reviews its decisions, and what happens when an input doesn't match a known pattern.

Zamp uses "AI employee" as its primary term for this category.

Frequently Asked Questions

Is a digital employee the same thing as an AI agent?

The terms overlap but aren't identical. An AI agent may complete one task. A digital employee applies agent capabilities to an ongoing job with persistent context, defined authority, escalation rules, and outcome-level measurement, the way a hire would own a role rather than a single assignment.

Why do different vendors use different terms for the same idea?

Partly branding, partly emphasis. "Digital employee" and "AI employee" emphasize ongoing role ownership. "Digital worker" and "AI staff" lean on the same idea with slightly different connotations. None of these are standardized industry terms, so when comparing platforms, look past the label to what the system can actually finish, access, and be held accountable for.

Does "employee" imply an actual employment relationship?

No. The word describes the operating model, not a legal employment relationship. The software has a defined role, identity, permissions, a process owner, and a way to measure its performance, the structural elements of a job, without the legal or HR dimensions of hiring a person.