Select the refactoring value areas that matter most. Compare BAU with the Goal and calculate annual and three-year Business Impact.
Problem Statement
Legacy systems and AI-assisted code sprawl increase refactoring, maintenance, manual ROI reporting, value-drift, and AI security costs while trapping critical business logic inside fragile platforms.
Solution
Extract and govern the business logic, generate leaner portable systems, measure BAU against the Goal continuously, automate ROI proof, and control AI security through one value-accountability system.
1 Select Areas
2 Enter BAU and Goal
3 Business Impact
← Change selection
🧩
Avoid Refactoring Costs
Number of people in the role.
BAU annual available hours.
Salary, benefits, overhead and related labor cost.
Current share of developer time.
Target reduction from the supplied model.
Current share of developer time.
Target reduction from the supplied model.
Defect incidents asset.
Cost per incident from the supplied model.
Target reduction from the supplied model.
Annual refactoring cost avoided
Reduced rework
Reduced production defect cost
🛠️
Reduce Maintenance Costs
Number of people in the role.
BAU annual available hours.
Salary, benefits, overhead and related labor cost.
Current share of developer time.
Target reduction from the supplied model.
Current share of developer time.
Target productivity improvement from the supplied model.
Number of annual cloud cost units.
Cloud bill asset cost.
Target reduction from the supplied model.
Annual maintenance cost savings
Developer capacity recovered
Cloud cost savings
📈
Measure Continuously
Number of people performing the work.
BAU annual available hours.
Salary, benefits, overhead and related labor cost.
Current share of time.
Approved target improvement.
Current share of time.
Approved target improvement.
Issues requiring detection and correction.
Business value at risk per issue-day.
Current detection delay.
Target improvement from alerts and Next Best Actions.
Annual value protected from drift
Reduced manual reporting
Faster correction
✅
Prove AI ROI
Number of people performing ROI reporting.
BAU annual available hours.
Salary, benefits, overhead and related labor cost.
Current share of time.
Target reduction from the supplied model.
Current share of time.
Target reduction from the supplied model.
Early warning ROI alerts.
Amount from the supplied model.
Current alert coverage.
Target alert coverage from the supplied model.
Annual ROI reporting savings
Early warning value protected
Board-readable proof
🔐
Security Control AI
Number of people in the role.
BAU annual available hours.
Salary, benefits, overhead and related labor cost.
Current share of time.
Target reduction from the supplied model.
Current share of time.
Target reduction from the supplied model.
Annual AI security effort savings
Reduced setup time
Faster alert response
Annual Business Impact
$0
BAU$0
Goal$0
Annual Business Impact$0
3-Year Business Impact$0
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