The three cost buckets most calculators ignore
- Consultant retainers — billed hourly, often $150–$250/hour, often hidden in an annual contract line.
- Error recovery — the hours spent unpicking a wrong journal, a missed invoice, a duplicate payment. Usually 2–4x the original task time.
- Delay cost — a close that runs 10 days instead of 4 delays every downstream decision that depends on actuals.
The simple ROI formula that actually works
Start with: (direct labor saved × loaded cost/hour) + (consultant fees eliminated) + (error-recovery hours saved × loaded cost/hour) + (cost of delayed decisions avoided) − (AI service cost) = net annual ROI. Divide by the AI service cost to get ROI%.
Numbers from a real mid-market deployment
- Direct labor saved: 1.5 FTE × $80K loaded = $120K/year
- Consultant retainer eliminated: $15,000/month × 12 = $180K/year
- Error recovery saved: 200 hours × $60 loaded = $12K/year
- Faster close decisions: harder to quantify, often $50K–$200K/year depending on decision speed
- Total savings: $362K/year on the low end
- AI service cost: ~$60K/year for a Growth-tier deployment
- Net annual ROI: ~$302K · ROI%: ~500%
Sanity-check your assumptions
ROI calculators get abused. To keep yourself honest: use fully-loaded cost per hour (salary × 1.4–1.6); only count consultant hours you would actually reduce (not 'eliminate'); assume 70% of projected error savings, not 100%. If ROI is still strongly positive under those assumptions, the project is worth it.
Quick test
If you spend more than $5,000/month on combined ERP consultant retainers + manual AP/GL work and you have more than 100 employees, the math almost always works. The break-even point is much lower than most companies assume.
See it in action
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