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Hinal Patel
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Progress is excited to announce the release of Corticon 7.2, delivering powerful new capabilities that take rule automation to the next level. With enhanced AI integration, intelligent error resolution and upgraded runtime environments, Corticon 7.2 helps organizations accelerate digital transformation and strengthen compliance—all while reducing manual effort.
One of the most anticipated features in Corticon 7.2 is AI-driven rule generation. This new capability allows users to define complex business rules using plain-English prompts or even directly from code snippets like Java or JavaScript. It eliminates the need for deep technical expertise in rule authoring and makes it easier for teams to collaborate on logic creation, bridging the gap between business and IT contributors.
Combined with support for Azure OpenAI, organizations can securely leverage enterprise-grade AI tools within Corticon to optimize rule design and execution. Whether you’re defining new logic from scratch or migrating from legacy code, Corticon 7.2 dramatically accelerates development timelines.
In the example clip below, a user enters a simple text description of a rule. The AI Assistant instantly generates the appropriate logic in the rule sheet and includes an explanation to clarify the reasoning behind the rule’s creation.
AI then creates a rule sheet from the phrase, “If driving 1 to 29 miles and has 2 or fewer years of driving experience, the insurance cost is $14.58” and provides context for the logic applied.
The AI Assistant isn’t just for creating new rules, it can also help you understand what is already there. In this example, the AI responds to a prompt asking for a list of all rules in a ruleflow, along with a brief explanation of each one. This is especially helpful for onboarding new users or reviewing complex logic.
In the video clip below, the user prompts: “List the rules in this ruleflow with a brief explanation of each.” The AI Assistant returns a clear, structured summary of each rule, explaining what each does in plain English.
It can even extract specific elements from the logic and format them for easier viewing. In the clip below, the user asks the AI Assistant to identify and format the age brackets used to determine insurance rates: “List the age brackets used to set the insurance rate. Format as HTML.” And it responds: “The insurance rates are determined using the following age brackets: 18 to 25 years; 26 to 32 years; 33 to 50 years; 51 to 65 years; and over 65 years.”
Debugging and refining rules can often be a time-consuming task. With intelligent error resolution, Corticon 7.2 helps teams move faster by automatically analyzing issues, offering clear explanations of errors and providing suggested fixes. This is particularly valuable for users who may not have deep experience with rule modeling, as it reduces friction in the development process and minimizes rework while maintaining accuracy.
In the clip below, the AI Assistant analyzes a rule sheet with errors. It identifies incorrect terms, explains the issue and suggests replacements—all within seconds. Then it suggests replacing “miles driven” with the valid attribute “distance driven today” and highlights errors in red with corrections in green.
Corticon 7.2 brings a host of platform modernization updates to align with today’s enterprise technology stacks:
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Smarter Rule Creation, Powered by AI
One of the most anticipated features in Corticon 7.2 is AI-driven rule generation. This new capability allows users to define complex business rules using plain-English prompts or even directly from code snippets like Java or JavaScript. It eliminates the need for deep technical expertise in rule authoring and makes it easier for teams to collaborate on logic creation, bridging the gap between business and IT contributors.
Combined with support for Azure OpenAI, organizations can securely leverage enterprise-grade AI tools within Corticon to optimize rule design and execution. Whether you’re defining new logic from scratch or migrating from legacy code, Corticon 7.2 dramatically accelerates development timelines.
Explore how fast it is:
In the example clip below, a user enters a simple text description of a rule. The AI Assistant instantly generates the appropriate logic in the rule sheet and includes an explanation to clarify the reasoning behind the rule’s creation.
AI then creates a rule sheet from the phrase, “If driving 1 to 29 miles and has 2 or fewer years of driving experience, the insurance cost is $14.58” and provides context for the logic applied.
Go one step further with rule comprehension
The AI Assistant isn’t just for creating new rules, it can also help you understand what is already there. In this example, the AI responds to a prompt asking for a list of all rules in a ruleflow, along with a brief explanation of each one. This is especially helpful for onboarding new users or reviewing complex logic.
In the video clip below, the user prompts: “List the rules in this ruleflow with a brief explanation of each.” The AI Assistant returns a clear, structured summary of each rule, explaining what each does in plain English.
It can even extract specific elements from the logic and format them for easier viewing. In the clip below, the user asks the AI Assistant to identify and format the age brackets used to determine insurance rates: “List the age brackets used to set the insurance rate. Format as HTML.” And it responds: “The insurance rates are determined using the following age brackets: 18 to 25 years; 26 to 32 years; 33 to 50 years; 51 to 65 years; and over 65 years.”
Introducing Intelligent Error Resolution
Debugging and refining rules can often be a time-consuming task. With intelligent error resolution, Corticon 7.2 helps teams move faster by automatically analyzing issues, offering clear explanations of errors and providing suggested fixes. This is particularly valuable for users who may not have deep experience with rule modeling, as it reduces friction in the development process and minimizes rework while maintaining accuracy.
Watch it in action:
In the clip below, the AI Assistant analyzes a rule sheet with errors. It identifies incorrect terms, explains the issue and suggests replacements—all within seconds. Then it suggests replacing “miles driven” with the valid attribute “distance driven today” and highlights errors in red with corrections in green.
Modernization That Meets Enterprise Standards
Corticon 7.2 brings a host of platform modernization updates to align with today’s enterprise technology stacks:
Java 21 compatibility
Support for Tomcat 10.1 and JBoss 8
Security updates to bundled dependencies
These updates make it easier for organizations to adopt the Corticon platform in cloud-native environments and maintain compliance with evolving technologies and security standards. For teams focused on deployment flexibility and integration into broader IT ecosystems, these improvements simplify the process and reduce risk.
Real-World Impact
How Corticon 7.2 can make a difference across industries:
Teams can now translate policy or regulatory language directly into executable rules, enabling faster responses to compliance changes without needing a developer to interpret and encode the logic.
Enterprises undergoing digital transformation benefit from the ability to convert legacy code business logic into maintainable no-code rules, significantly reducing time and errors during system migration.
Watch how legacy code becomes no-code:
In the demo below, a JavaScript code snippet describing rule logic is input into the AI Assistant. The assistant analyzes the code and generates no-code Corticon rules that reflect the same logic instantly and accurately. JavaScript logic is translated into a structured Corticon rule sheet, showing AI’s flexibility in accepting different input types.
Cross-functional collaboration is easier than ever. By allowing natural language and technical inputs to coexist in rule creation, Corticon fosters better alignment between technical and business stakeholders, so decisions reflect both operational precision and strategic intent.
Future-Ready Decisioning
Corticon 7.2 introduces a modern approach to decision automation for organizations. By combining explainable AI with a platform expressly designed with security in mind, it enables faster, smarter and more collaborative rule development while supporting the transparency and governance enterprises require."
Whether you’re improving productivity, streamlining migration efforts or managing enterprise-scale deployments with modern standards, Corticon 7.2 gives you the tools to succeed.
Ready to see Corticon 7.2 in action? Contact us to learn more, or visit the /www.progress.com>Corticon Community to ask questions, share feedback and explore resources.
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