A rules engine is software that evaluates defined conditions and applies resulting decisions or actions. It separates business logic from application code so authorized teams can govern decisions more consistently.
What can a rules engine control?
- Pricing and discounts
- Product configuration
- Workflow routing and approval
- Risk and compliance checks
- Eligibility and limits
- Exception and notification handling
How are rules structured?
A rule typically contains conditions, an action, priority, effective dates and ownership. The engine evaluates relevant data and records the matched rule and outcome.
Rules engine vs. machine learning
A rules engine follows explicit logic. A machine-learning model produces predictions from patterns in data. Systems may combine them, but model output should not be described as a deterministic rule.
What governance is needed?
Control authoring, testing, approval, versioning, conflicts and rollback. Preserve the rule version used for every material decision.
How should rules be tested?
Use normal, boundary, missing-data and conflicting-rule cases. Monitor overrides, unexpected outcomes and drift between written policy and implemented logic.
