opensource/agency-agents
3
0
Fork 0
mirror of https://github.com/msitarzewski/agency-agents.git synced 2026-10-30 22:53:37 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix(workflow): align automation savings estimates

Browse Source 
Use the designer's existing realization coefficient in both reports.\nKeep the 22-execution monthly assumption explicit.\n\nRefs #1183
This commit is contained in:
vam
2026-10-23 14:44:07 +08:00
parent 4e3ac3ca66
commit 5582e4c489
1 changed files with 27 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
testing/testing-workflow-optimizer.md
+27 -2
View File
@@ -329,14 +329,14 @@ class WorkflowOptimizer:
{
"step": step.name,
"potential": step.automation_potential,
"estimated_savings_hours_month": (step.duration_minutes / 60) * 22 * step.automation_potential,
"estimated_savings_hours_month": (step.duration_minutes / 60) * 22 * step.automation_potential * 0.8,
"recommended_tool": "RPA platform", # Simplified for example
"implementation_effort": "Medium"
}
for step in automation_candidates
],
"total_monthly_savings": sum(
(step.duration_minutes / 60) * 22 * step.automation_potential
(step.duration_minutes / 60) * 22 * step.automation_potential * 0.8
for step in automation_candidates
),
"roi_timeline_months": 6
@@ -345,6 +345,31 @@ class WorkflowOptimizer:
return implementation_strategy
```
Regression check (run after the classes above): estimates use the designer's 80% realization factor and assume 22 executions per month, not measured business savings.
```python
optimizer = WorkflowOptimizer()
steps = [
ProcessStep("Data entry", 60, 60, 0, 1.0, 1, 8),
ProcessStep("Reporting", 30, 60, 0, 0.8, 1, 8),
ProcessStep("Manual review", 20, 60, 0, 0.5, 1, 8),
]
optimized = optimizer.design_optimized_workflow(
steps, optimizer.identify_optimization_opportunities(steps)
)
strategy = optimizer.generate_automation_strategy(steps)
expected_savings = [
(before.duration_minutes - after.duration_minutes) / 60 * 22
for before, after in zip(steps[:2], optimized[:2])
]
assert np.allclose(
[item["estimated_savings_hours_month"] for item in strategy["automation_candidates"]],
expected_savings,
)
assert np.isclose(strategy["total_monthly_savings"], sum(expected_savings))
assert optimizer.generate_automation_strategy(steps[2:])["total_monthly_savings"] == 0
```
## 🔄 Your Workflow Process
### Step 1: Current State Analysis and Documentation