ROI of AI Accounting Software: Two Worked Examples

Two hypothetical scenarios showing how to calculate the return on investment from AI-powered accounting, with every assumption on the page.

By Emily Watson · · 7 min read

ROI of AI Accounting Software: Two Worked Examples

The scenarios below are illustrative worked examples, not customers. Nobody described here is a real business, and none of the figures are measured outcomes — they are assumptions we picked so you can follow the arithmetic and then substitute your own numbers.

Worked Example 1: E-Commerce Business (hypothetical)

Assumed profile

  • Annual revenue: $2M
  • Monthly transactions: 5,000
  • Team size: 2 bookkeepers

Assumed starting point

  • 60 hours/month on bookkeeping
  • 5-day month-end close
  • Monthly bookkeeping cost: $4,500

Assumed end state

  • 8 hours/month on bookkeeping, of which 4 hours are paid labor
  • 1-day month-end close
  • Monthly cost: $149 (Guided) + 4 hours labor ($600)

The arithmetic: $4,500 − ($149 + $600) = $3,751/month, or about $45,000/year. Against the subscription alone that is roughly 25x. Change the assumed hourly rate or the hours saved and the answer moves a long way — these are the two inputs worth testing against your own books.

Worked Example 2: Professional Services Firm (hypothetical)

Assumed profile

  • Annual revenue: $5M
  • Monthly transactions: 2,000
  • Team size: 1 controller, outsourced bookkeeper

Assumed change

  • Outsourced bookkeeping engagement ends: $3,000/month
  • Controller time shifts from data entry to analysis (no cash saving assumed)

The arithmetic: $3,000/month less the Guided subscription is about $38,000/year. This example assumes the outsourced engagement can be ended outright — if yours covers payroll, tax filings, or advisory work that the software does not do, the saving is smaller.

Common ROI Factors

  1. Time savings (biggest driver)
  2. Error reduction
  3. Faster close cycles
  4. Better decision-making
  5. Staff satisfaction