Product Managers

- Define business logic without writing code

- Visualize how rules interact and affect outcomes

- Test scenarios before going live

- Track changes and understand their impact

Business Analysts

- Translate business requirements into executable rules

- Validate rules against expected outcomes

- Document rule logic in a structured format

- Collaborate with technical teams effectively

Developers

- Focus on building features, not maintaining rule spaghetti

- Integrate via REST or gRPC APIs

- Trust that business logic is correct and consistent

- Deploy rule changes without code releases

Compliance & Audit Teams

- Complete audit trail of all rule changes

- Understand exactly how decisions are made

- Verify regulatory compliance

- Generate reports on rule behavior

*Scattered Across Code* ```java // Hidden in service layer if (customer.age > 65 && customer.income < 50000) { premium = basePremium * 1.5; } else if (customer.riskScore > 7) { premium = basePremium * 1.3; } // ... 500 more lines scattered across 20 files ``` *Buried in Spreadsheets* ```text Excel files passed between teams - v1_final.xlsx - v1_final_FINAL.xlsx - v1_final_FINAL_approved_v2.xlsx No version control. No audit trail. ``` *Lost in Configuration Files* ```yaml # config/pricing_rules.yaml # Last modified: ??? # By whom: ??? # Why: ??? rules: - condition: "age > 65" action: "multiply 1.5" ```

The Consequences

Problem | Impact

Fragmented Logic | Business rules scattered across codebases, spreadsheets, and documents

No Single Source of Truth | Different systems calculate differently, causing inconsistencies

Change is Risky | Modifying rules requires code deployments; one mistake affects production

No Visibility | Business teams can’t see or understand the actual rules running

No Audit Trail | When rules change, there’s no record of who changed what and why

Slow Time-to-Market | Every rule change requires developer involvement and release cycles

Rule Engine

- JSON Logic Expressions - Industry-standard rule format

- Tiered Compilation - AST → Bytecode VM (3.5x speedup)

- DAG Execution - Automatic dependency resolution

- Parallel Processing - Rules without dependencies run concurrently

- Cycle Detection - Prevents infinite loops

Visual Interface

- Block-based Editor - Build rules visually

- Interactive DAG Canvas - Drag, zoom, and explore

- Real-time Simulation - Test with live feedback

- AI Chat Assistant - Natural language to rules

- Impact Analysis - See what changes affect

Data Management

- Product Lifecycle - Draft → Pending → Active → Discontinued

- Abstract Attributes - Reusable templates

- Custom DataTypes - With constraints and validation

- Enumerations - Type-safe value sets

- Tag Organization - Filter and group attributes

Enterprise Ready

- REST + gRPC APIs - Dual protocol support

- DGraph Database - Graph-native storage

- LRU Caching - Hot data performance

- Batch Evaluation - Process multiple inputs

- Streaming Support - Real-time evaluation