AI & Machine LearningEnterprise

Revisto — Rules Engine & Core API Platform

Architected a modular rules engine platform with GitLab-managed microservices, enabling independent service deployment and scaling.

Modular service architecture

The Challenge

Revisto needed a centralized rules engine that could evaluate complex business rules across their applications. Different parts of their system required rule-based decisions, but the logic was scattered across multiple services, making it difficult to maintain consistency and update rules efficiently.

Our Approach

Daiviksoft built a modular platform with two core components: a rules engine service for evaluating business rules, and a core API that exposes rule evaluation and business logic as REST endpoints. The architecture centralizes all rule definitions in one place while providing a clean API for any application to request rule evaluations.

Key Deliverables

Centralized rules engine for consistent business logic evaluation
Core API exposing rule evaluation as REST services
Modular service architecture for independent deployment
Local development environment with documented setup
Clean separation between rule definitions and application logic

Results & Impact

Revisto achieved a single source of truth for all business rules, eliminating inconsistencies that arose from duplicated logic across services. The API-first approach made it easy for any application in their ecosystem to leverage the rules engine without reimplementing business logic.

Project Overview

Client

Revisto

Category

AI & Machine Learning

Industry

Enterprise

Key Metrics

Modular service architecture

Technology Stack

JavaSpring BootGitLab

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