· AI Workforce · 4 min read

The ROI Math for an AI Digital Employee, With Actual Numbers

Work out what an AI digital employee really returns: wage vs. $299/month pricing, the hidden costs of a hire, and where ROI math breaks.

An AI digital employee is software assigned one job the way you would assign a person: keep the support inbox answered, chase unpaid invoices. Every small company that looks at this asks whether the arithmetic works once you put real numbers in it.

Start from the wage. In May 2025 the average annual wage across all U.S. occupations was $69,770, according to the Bureau of Labor Statistics Occupational Employment and Wage Statistics release published May 15, 2026. A hire for repetitive admin or support work puts that kind of number in your spreadsheet first, and in most metros the actual offer runs higher.

What the wage line leaves off

Salary is the visible part of a seat. Employer payroll taxes, benefits, and equipment sit behind it, and none of them shrink while the person is still new. Recruiting takes weeks of somebody’s attention. Then comes the ramp, the stretch where someone is still learning your products, your tone, and which customers get escalated.

Hiring still makes sense for most small teams that are out of capacity. The comparison simply starts from a larger number than the salary you were quoted.

The other column

Our Starter plan is $299 a month for one digital employee role running one core workflow during business hours. Over twelve months that is $3,588. The Growth plan runs $999 a month and covers up to three roles across channels.

Put one role at $3,588 next to a $69,770 wage and the gap looks decisive. It rarely survives contact with a real month, and the weak spots are worth writing down before you show the spreadsheet to anyone.

Where ROI math goes wrong

  • You compared a full year of a hire against work that eats part of a day. If the task only takes two hours daily, a full-time comparison inflates the saving. Measure task volume first.
  • The exceptions still land on a person. Every workflow has a messy tail, the refund outside policy or the invoice with a disputed line. Count the human hours that tail takes, or the model gives back a number nobody trusts after the first bad week.
  • Savings start after someone defines the workflow. The current process has to be written down, a target set, and the output corrected when it drifts. That work belongs in the first month of the calculation instead of a footnote.
  • You compared against zero. Sometimes nobody does the task today because everyone is too busy. Software that finally answers the inbox replaces no wage, and your spreadsheet should say that rather than borrow a fake one.

How to run the number honestly

Pick one workflow with a clear finish line: support questions answered, quotes requested, invoices flagged. Write down how many came through last month and how long your team spends on them now. The arithmetic is plain from there. If your inbox logged 600 questions last month at four minutes each, that is 40 hours, close to a full week of one person’s time, and the same 40 hours is the baseline you judge the software against.

Run the same workflow for a month with a digital employee, then compare the two columns with the exception hours still in. That calculation is what we do with you on a demo call. Bring last month’s volume and the roles that touch it, and you leave with the package that fits your timeline. Book a Demo.

Every plan includes onboarding, prompt and workflow design, and KPI tracking, so the measuring does not come out of your team’s backlog. The scope of each tier is on the pricing page, and the roles we deploy are listed under products.

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