The AI ROI Formula
ROI = (Annual Benefits − Annual Costs) ÷ Annual Costs × 100
For AI automation, benefits come from three buckets:
1. Labor Cost Reduction
Hours saved per week × hourly fully-loaded cost × 52 weeks.
Example: Customer support chatbot handling 80% of 500 weekly tickets at 12 minutes each:
- Hours saved: 500 × 0.8 × 0.2 = 80 hours/week
- At $35/hour loaded cost: $145,600/year
2. Error & Rework Reduction
Manual data entry error rates of 1–4% create rework costs. Document AI reducing errors by 90% on 10,000 annual documents at $15/error cost = $135,000/year savings.
3. Revenue Impact
Faster lead response increases conversion. AI qualifying leads in under 60 seconds vs 4-hour human response can improve conversion 15–25% on inbound pipeline.
Typical AI Project Costs
| Project Type | Build Cost | Annual Maintenance |
|---|---|---|
| Support chatbot | $15,000–$40,000 | $6,000–$12,000 |
| Document processing | $20,000–$60,000 | $8,000–$15,000 |
| Lead qualification AI | $12,000–$35,000 | $5,000–$10,000 |
Payback Period Benchmark
Well-scoped AI automation projects typically achieve payback in 3–8 months for high-volume support and document workflows.
Measuring After Launch
Track: containment rate (queries resolved without human), average handle time, escalation rate, customer satisfaction, and cost per interaction. Review monthly for first 6 months.
[AI automation services](/services/ai-automation-services) — SinghJi Tech builds production AI, not pilots.
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