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Business rules management system

As explained in Inside AI

A business rules management system is software for authoring, managing, governing, and executing business rules separately from application code.

A business rules management system (BRMS) centralizes business rules so organizations can author, manage, test, govern, and automate complex decisions separately from application code. It evolved from expert systems, which assess data through if-then rules created by domain experts. section 2.2 section 2.6

A BRMS commonly combines:

  • A rule repository for defining, organizing, and storing business rules. section 2.2
  • A rule-authoring environment for creating, modifying, and testing rules through interfaces usable by business users or analysts. section 2.2
  • A rule coherence module for assessing new or changed rules and preventing contradictions. section 2.2

Loan eligibility

A financial institution can automate loan decisions with a rule such as: if an applicant exceeds a credit-score threshold and has stable income, approve the application automatically. Similar rule-based decisions support tax preparation, hospital admissions, and vehicle responses to traffic conditions. section 2.2

BRMSs help organizations streamline decision-making by keeping complex rules centralized and manageable. Their decisions depend on the quality, consistency, and suitability of the rules supplied by domain experts. section 2.2 section 2.6

How Inside AI covers it

How deep it goes
Explains the definition, evolution, examples, and core components, but stops short of implementation detail.
Examples
Uses TurboTax, loan approval, hospital admissions, and self-driving vehicle safety rules as concrete applications.
What it assumes
Assumes familiarity with business decisions but introduces expert systems and if-then rules as foundations.
What you can do after
Evaluate how rule repositories, authoring tools, and coherence checks support automated business decisions.
How it connects
Connects business rules management systems with expert systems, case-based reasoning, and fuzzy logic.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Inside AI. The section links point to the parts of the book it draws on.