AI Employee Role Splitter

AI rarely does a whole job. It does the parts of a job that are digital, repetitive, and describable: scheduling, data entry, status chasing, reporting, inbox triage, CRM updates, invoice processing, and first drafts. Relationships, negotiation, managing people, in-person work, and genuine judgment calls stay human. For coordinator-class roles, the repeatable share typically lands between half and two thirds of the week.

Claude, Anthropic's AI, reads your job description with the same method we use before every AI employee build. It splits the role into duties, puts each one in a bucket (the AI employee runs it, the AI drafts and a human approves, or it stays human), estimates the hours each duty takes in a 40-hour week, and names the guardrail that makes it safe. A duty only counts as AI-run if its inputs are consistent, its rules can be written down, and there is a clear check that it was done right. Decisions about people and money never go to the AI alone. Drafted hours count as half, and the result is capped at 80 percent, because every AI employee still needs a person who owns the exceptions. An instant keyword estimate shows while the AI works, and stays as a fallback if the AI is unavailable.

Usually not all of it, and that is the useful answer. When most of a role is repeatable, the common outcome is an AI employee built for the repeatable share plus a part-time hire, or a full-time hire who spends the week on judgment instead of busywork. A bounded AI employee build starts at $3,500 fixed, against a coordinator salary that recurs every year.

It is a strong first read based on the posting alone. The AI weighs duties by realistic hours and explains each call, but it cannot see your real volumes, systems, and exceptions, and two postings with the same words can hide very different jobs. It also lists the assumptions it made and the questions that would change the answer. A real split takes about 30 minutes with someone who knows the role, and we do that for free.