aios-core
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Synkra AIOS: AI-Orchestrated System for Full Stack Development - Core Framework
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# ROI Calculation Guide
**Purpose:** How to calculate real cost savings from design system
**Agent:** Brad / Design System
**Method:** Pattern-weighted cost analysis
## Formula Base
```python
monthly_cost = patterns × hours_per_pattern × hourly_rate
annual_savings = (cost_before - cost_after) × 12
roi_ratio = annual_savings / implementation_cost
```
## Pattern Weights (Critical!)
**Problem:** Not all patterns cost the same to maintain.
**Solution:** Weight by complexity and change frequency.
```python
pattern_weights = {
'button': 1.0, # Baseline (2h/month)
'input': 1.5, # Validation logic
'form': 4.0, # Complex state, validation
'modal': 2.0, # Overlay logic, accessibility
'dropdown': 2.5, # Complex interactions
'card': 0.8, # Mostly layout
'color': 0.2, # Trivial (just CSS)
'spacing': 0.3, # Low complexity
'typography': 0.5, # Medium complexity
}
weighted_hours = sum(
pattern_count × weight × base_hours
for pattern, count in patterns.items()
)
```
## Example Calculation
### Before Consolidation
```yaml
patterns:
buttons: 47 × 1.0 = 47 units
inputs: 23 × 1.5 = 34.5 units
forms: 12 × 4.0 = 48 units
colors: 89 × 0.2 = 17.8 units
spacing: 19 × 0.3 = 5.7 units
total_units: 153 units
hours_per_unit: 2h/month
monthly_hours: 306h
hourly_rate: $150/h
monthly_cost: $45,900
annual_cost: $550,800
```
### After Consolidation
```yaml
patterns:
buttons: 3 × 1.0 = 3 units
inputs: 5 × 1.5 = 7.5 units
forms: 3 × 4.0 = 12 units
colors: 12 × 0.2 = 2.4 units
spacing: 7 × 0.3 = 2.1 units
total_units: 27 units
monthly_hours: 54h
monthly_cost: $8,100
annual_cost: $97,200
```
### Savings
```yaml
monthly_savings: $37,800
annual_savings: $453,600
implementation_cost: $15,000
roi_ratio: 30.2x
breakeven: 0.4 months (12 days)
```
## Conservative vs Aggressive Estimates
### Conservative (Recommended)
- Base hours: 2h/month
- Hourly rate: $150/h
- Include only direct maintenance (bugs, updates)
### Aggressive
- Base hours: 3h/month
- Include code reviews, discussions, decision time
- Include opportunity cost of inconsistency
**Brad recommends:** Use conservative numbers for stakeholders.
## Beyond Direct Cost
### Velocity Impact
```python
feature_velocity_multiplier = 3-6x
# Conservative estimate: 4x
time_saved_per_feature = 75% # 16h → 4h
features_per_sprint = baseline_features × 4
```
### Quality Improvements
- Fewer bugs (consistent patterns)
- Better accessibility (system enforces WCAG)
- Easier onboarding (single source of truth)
**Hard to quantify but real value.**
## Brad says:
"Conservative ROI = credible ROI.
Underpromise, overdeliver."