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
- Time savings (biggest driver)
- Error reduction
- Faster close cycles
- Better decision-making
- Staff satisfaction