The newest releases of Progress Corticon 7.3 and Corticon.js 2.4 mark a significant step forward in intelligent rule modeling and testing. Through AI-driven test data generation, deeper integration with leading AI models, and new export options for governance, these updates transform one of the most time-intensive areas of decision automation—validation.
The Corticon platform continues to deliver innovation that strengthens reliability, transparency, and performance, helping organizations model, test, and deploy automated decisions with greater speed and precision.
Automating a Historically Manual Process
Testing has long been one of the most demanding parts of rule modeling. Each input and expected output typically requires manual setup and verification. Corticon 7.3 introduces AI-powered test data generation that automates this process by producing test inputs directly from the logic of a rulesheet.
As demonstrated in the walkthrough demo below, the system analyzes rule conditions and generates complete test data that mirrors real-world variables, such as driver age, distance, and risk category. The result is comprehensive validation with minimal setup, freeing up modelers from repetitive manual work.
Intelligent Customization and Control
While automatic generation covers most use cases, modelers can also guide the AI to create data for specific scenarios. In the example below, the modeler instructs Corticon the engine to “generate test data for 10 drivers age 21,” and the platform returns a focused dataset that satisfies those conditions. This flexibility allows teams to validate unique or edge cases, while maintaining efficiency and consistency.
Structurally Aware Data Generation
The AI built into the Corticon platform’s AI understands both the logic and structure of rule data. In the example shown below, the system recognizes relationships such as flight plans and cargo weight, generating data that accurately reflects these associations. This capability supports complex projects where hierarchies and dependencies are critical, producing test data that aligns precisely with the business model and vocabulary.
Designed for Real-World Impact
Corticon 7.3 introduces capabilities that extend across industries where accuracy, compliance, and transparency are essential, including financial services, healthcare, insurance, government, and manufacturing.
Key Enhancements Include:
AI-Powered Test Data Generation that automatically produces inputs derived from rulesheet logic, improving coverage and reducing setup time.
Enhanced AI Assistant Quality through an integration with OpenAI 4.1 and 5 (including Azure OpenAI) for greater accuracy and contextual relevance.
Ruleflow JSON Export for seamless integration with documentation, compliance, and governance systems.
Accelerated Development Cycle that allows modelers to iterate quickly and validate logic with confidence.
These capabilities address common challenges such as slow testing cycles, inconsistent AI output, and limited governance integration. Along withWith intelligent automation and transparent design, Corticon 7.3 enables faster, higher-quality decision modeling.
Extending AI Power to the Cloud with Corticon.js 2.4
Corticon.js 2.4 brings the same innovation to JavaScript and cloud-native environments. Developers can now generate and validate rules using natural language, receive AI-guided error explanations, and export ruleflows in JSON for compliance or audit workflows.
The release maintains a Corticon.js’s lightweight, cloud-ready architecture within the Corticon.js solution and adds dual integration with OpenAI and Azure OpenAI. This combination supports scalable, transparent, and efficient decision services for modern application environments.
Real Results, Faster Delivery
Corticon 7.3 and Corticon.js 2.4 advance the future of decision automation with a focus on accuracy, transparency, and efficiency. The combination of AI-powered testing, modern integration, and audit-ready governance enables teams to move from development to deployment with greater speed and confidence.
Organizations can validate logic faster, improve the quality of automated outcomes, and maintain full visibility across testing and compliance processes. These releases reflect a continued commitment to helping customers achieve reliable, intelligent, and scalable decision automation.
Learn how Corticon 7.3 and Corticon.js 2.4 deliver the intelligence and precision needed to accelerate decision automation.
Hinal Patel
Hinal Patel is a Product Marketing Specialist at Progress, focusing on Progress Corticon specifically. She has been with Progress for two years and is excited to contribute and work on more Progress Corticon projects in the future. Some of her favorite things to do outside of work are hiking, reading, and spending time with family and friends.
