One of the trickiest parts of deploying voice AI for business phone lines is proving the ROI. Here's the framework I use.
The three numbers that matter
1. Missed calls recovered
Most SMEs miss 20-40% of inbound calls. Each missed call has a revenue value (average booking × close rate). This is usually the biggest number.
monthly_recovered = daily_calls × miss_rate × recovery_rate × avg_booking_value × 22
2. Staff hours freed
Routine calls (hours, directions, confirmations) eat 3-5 hours/day of staff time. Voice AI handles these instantly.
monthly_savings = hours_freed_per_day × hourly_cost × 22
3. After-hours capture
~48% of calls to small businesses come outside working hours. Without AI, these are 100% lost. With AI, you're booking while competitors sleep.
after_hours_revenue = after_hours_calls × booking_rate × avg_value × 22
Real example
Dublin dental practice, 40 calls/day:
- Recovered calls: ~€4,800/month
- Staff savings: ~€1,100/month
- After-hours: ~€2,400/month
- AI cost: ~€199/month
- Net ROI: ~€8,100/month
Payback period: literally day one.
The key insight: you're not paying for a phone system. You're recovering revenue you were already losing.
Built with VoiceFleet — voice AI for Irish and Argentine businesses
Top comments (0)