ROI of AI: How to justify the investment to the CFO
If you can't prove that AI saves hours or generates revenue, your project will be cut. Here is the spreadsheet.
Fabiano Brito
CEO & Founder
"Cool chatbot, but how much money does it bring?". If you stutter on this answer, your project is already dead. In lean times, innovation without ROI is a hobby.
But measuring Generative AI return is different from measuring traditional software. The gain is often invisible in the short term (efficiency) and explosive in the long term (new revenues).
The Efficiency Math (Real Case)
To approve your budget, classify your project in these boxes. If it doesn't fit in any, don't do it.
| Use Case | Human Cost (Monthly) | AI Agent Cost (Monthly) | Annual Savings |
|---|---|---|---|
| Level 1 Support (5k tickets) | $ 10,000 (5 JR) | $ 1,000 (Tokens) | $ 108,000 |
| Contract Review (100/month) | $ 8,000 (2 PL) | $ 200 (API) | $ 93,600 |
| Lead Qualification (SDR) | $ 4,000 (3 Interns) | $ 300 (Bot) | $ 44,400 |
1. Cost Deflection (The "Cheaper")
It's the classic. How much does a level 1 call cost? $ 2.00? If Bot Factory handles 5,000 calls per month:
- Avoided Human Cost: $ 10,000/month.
- AI Cost: $ 1,000/month.
- ROI: 10x (Immediate).
2. Revenue Acceleration (The "Faster")
How long does your salesperson take to respond to a lead? If it's 4 hours, the lead has already cooled down. If our AI qualifies and schedules the meeting in 2 minutes (on WhatsApp), your conversion goes from 3% to 5%.