Calculates ROI for AI automation projects from labor, error, and opportunity costs versus implementation expenses, generating Markdown report with summary, metrics table, and payback period.
From roi-calculatornpx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin roi-calculator/roiInteractively calculates campaign or channel ROI: collects scope, type, period, metrics via questions; analyzes spend/revenue from Meta Ads, Hubspot, Google Analytics.
/roiInteractively calculates campaign or channel ROI: collects scope, type, period, metrics via questions; analyzes spend/revenue from Meta Ads, Hubspot, Google Analytics.
/roiCalculates ROI for AI automation projects from labor, error, and opportunity costs versus implementation expenses, generating Markdown report with summary, metrics table, and payback period.
Calculate and present compelling ROI for AI automation projects.
Labor Costs:
- Hours per week: [X]
- Hourly rate: $[X]
- Annual cost: Hours × Rate × 52 = $[X]
Error Costs:
- Error rate: [X]%
- Cost per error: $[X]
- Annual error cost: $[X]
Opportunity Costs:
- Lost revenue due to delays: $[X]
- Missed opportunities: $[X]
Total Annual Cost: $[X]
Implementation Costs:
- Agency fees: $[X]
- Software licenses: $[X]/year
- Training: $[X]
- Total implementation: $[X]
Annual Operating Costs:
- Software licenses: $[X]
- API costs: $[X]
- Maintenance: $[X]
- Total annual operating: $[X]
Time Savings:
- Current time: [X] hours/week
- After automation: [X] hours/week
- Time saved: [X] hours/week
- Annual hours saved: [X] × 52 = [X]
- Value of time saved: [X] × $[rate] = $[X]
Quality Improvements:
- Error reduction: [X]%
- Annual error savings: $[X]
Speed Improvements:
- Faster processing: [X]%
- Additional capacity: $[X]
Total Annual Benefit: $[X]
Net Annual Benefit: $[X] - $[X] operating = $[X]
ROI: (Net Benefit / Implementation Cost) × 100 = [X]%
Payback Period: Implementation Cost / Net Annual Benefit = [X] months
# ROI Analysis: [Project Name]
## Executive Summary
By implementing [solution], [Company] will save **$X per year** with an ROI of **X%** and payback period of **X months**.
## Current State Analysis
### Time Investment
Currently, your team spends:
- **X hours per week** on [process]
- **X hours per year** total
- **$X per year** in labor costs (at $X/hour)
### Quality Issues
- **X% error rate** costing approximately **$X per error**
- **$X per year** in rework and corrections
### Opportunity Cost
- **X hours per week** that could be spent on higher-value work
- Estimated **$X in missed revenue** due to capacity constraints
**Total Current Annual Cost: $X**
## Proposed Solution
### Implementation
- Development: $X
- Integration: $X
- Training: $X
**Total Implementation: $X**
### Annual Operating Costs
- Software licenses: $X/year
- API usage: $X/year
- Maintenance: $X/year
**Total Annual Operating: $X/year**
## Expected Benefits
### Time Savings
- **Reduce process time by X%**
- **Save X hours per week**
- **$X value of time savings per year**
### Quality Improvements
- **Reduce errors by X%**
- **Save $X per year in error costs**
### Capacity Gains
- **Free up X% of team capacity**
- **Enable $X in additional revenue**
**Total Annual Benefit: $X**
## ROI Summary
| Metric | Value |
|--------|-------|
| Implementation Cost | $X |
| Annual Operating Cost | $X |
| Annual Benefit | $X |
| Net Annual Benefit | $X |
| **ROI** | **X%** |
| **Payback Period** | **X months** |
| **3-Year Value** | **$X** |
## Comparison: Do Nothing vs Automate
### Year 1
- Do Nothing: Lose $X in inefficiency
- Automate: Invest $X, gain $X → Net $X
### Year 2
- Do Nothing: Lose $X (cumulative $X)
- Automate: Gain $X (cumulative $X)
### Year 3
- Do Nothing: Lose $X (cumulative $X)
- Automate: Gain $X (cumulative $X)
**3-Year Difference: $X**
## Risk Mitigation
- Phased implementation reduces risk
- 30-day warranty included
- Ongoing support available
- Proven technology stack
## Next Steps
1. Approve project scope
2. Begin implementation (Week 1)
3. See first results (Week 8)
4. Full ROI realized (Month X)
Before: 1000 tickets/month, 15 min average = 250 hours
After: 60% automated, 100 hours saved
Savings: 150 hours × $35/hour = $5,250/month
Annual: $63,000
Implementation: $25,000
ROI: 252% (4-month payback)
Before: 10 posts/week, 2 hours each = 20 hours/week
After: AI generates drafts, 30 min review = 5 hours/week
Savings: 15 hours × $75/hour = $1,125/week
Annual: $58,500
Implementation: $15,000
ROI: 390% (3-month payback)
Before: 500 leads/month, 10 min each = 83 hours
After: AI scores leads, review top 20% = 17 hours
Savings: 66 hours × $50/hour = $3,300/month
Plus: 25% increase in qualified leads = $10,000/month
Annual: $159,600
Implementation: $20,000
ROI: 798% (1.5-month payback)
Use this calculator to build compelling business cases for AI automation projects.