What’s the story?
A large loan servicer had rules scattered everywhere: in Salesforce, SQL jobs, legacy systems. No single source of truth, lots of risk, and slow updates.
The real problem
- Business rules hidden in code and third-party systems
- Inconsistent rule execution across platforms
- Manual updates that were fragile and error-prone
- Hard to adapt to regulatory changes
What Prolifics did
Instead of rebuilding everything, we:
- Used AI to extract hidden business rules from SQL and legacy logic
- Validated those rules against real workflows
- Converted them into Drools rule specifications
- Built a centralized rule engine as a single source of truth
Basically, we turned chaos into something structured and manageable.
Why these matters
This wasn’t just a cleanup; it changed how they operate:
- Faster updates to policies and repayment rules
- More accurate and automated rule extraction
- Clear visibility into how decisions are made
- Reduced compliance and operational risk
The takeaway
You don’t always need to rip and replace legacy systems.
Sometimes the smarter move is:
Use AI to unlock what’s already there, organize it, and make it work better.
