Using AI to Discover Business Rules in Legacy Systems: Experiences & Challenges
CF7_Gaming · reddit · 2026-08-06
AI as a "Business Rule Archaeologist"
A developer initiated a discussion on using AI to analyze legacy enterprise systems (e.g., old databases, stored procedures, legacy code) to extract undocumented business logic. The goal is to build a knowledge graph of dependencies and decision paths to pave the way for modernization.
Key Discussion Points
- Data Sources: Evaluating whether analyzing source code, database logic, or transaction history works best.
- Accuracy: How to measure the accuracy of AI-generated rules against SME (Subject Matter Expert) validation.
- Challenges: Data quality, context gaps, and undocumented exceptions are major hurdles.
- Implementation: Seeking advice on pilot scopes for a 60-90 day proof of concept, and exploring the path from rule discovery to explainable AI decision support.
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