Codebeamer AI is an add-on that brings artificial intelligence directly into the PTC Codebeamer application lifecycle management (ALM) environment to help engineering teams improve requirements, generate test cases, and find information more efficiently.
By embedding AI assistance into existing ALM workflows, Codebeamer AI reduces time spent on repetitive tasks while helping teams maintain the traceability, consistency, and oversight needed for complex, software-driven product development.
Codebeamer AI helps engineering teams work smarter, reduce manual effort, and improve product quality without sacrificing control over the development process.
Contact Us for Setup, Pricing, or a Demo
Codebeamer AI Features
Codebeamer AI brings intelligent assistance directly into the workflows where you already manage requirements, testing, and traceability.
- Requirements Assistant: Analyze requirements against INCOSE guidelines to identify ambiguity, inconsistencies, and other quality issues.
- AI-assisted requirements authoring: Generate suggestions and rewrite requirements with clearer language, consistent structure, and improved accuracy.
- Test Case Assistant: Analyze requirements and automatically generate relevant test conditions and test cases to support comprehensive validation.
- Requirements-to-test traceability: Support relationships between requirements and generated test cases to improve verification coverage and reduce gaps.
- AI Search Assistant: Use natural-language queries and semantic search to find relevant requirements, tests, reviews, and other information across Codebeamer projects.
- Embedded AI workflows: Access AI assistance directly within Codebeamer while maintaining existing user permissions and controlled development processes.
Codebeamer AI brings intelligent assistance to requirements management and testing, helping teams identify issues earlier and reduce time-consuming manual work.
Codebeamer AI Benefits
By bringing AI into the ALM environment, Codebeamer AI helps engineering and quality teams streamline development while maintaining visibility into requirements, testing, and compliance activities.
- Improve requirements quality: Identify unclear or incomplete requirements earlier, reducing ambiguity and the risk of costly downstream rework.
- Accelerate testing and validation: Generate test cases more efficiently, expand test coverage, and reduce time spent on repetitive test planning.
- Increase engineering productivity: Reduce manual drafting, reviewing, and searching so teams can focus on higher-value engineering activities.
- Strengthen traceability and compliance readiness: Support more consistent requirements and verification records, making it easier to maintain traceability and prepare for audits.
- Improve access to engineering knowledge: Find and reuse existing requirements, tests, and project information without relying exclusively on keyword searches.
Codebeamer AI helps teams move faster through development while improving the quality and consistency of the information behind engineering decisions.
Are You Ready for Codebeamer AI?
Getting the most out of Codebeamer AI starts with a strong ALM foundation. Well-structured requirements, consistent testing processes, and reliable traceability are essential to producing useful AI-assisted results.
Organizations also need a compatible Codebeamer environment, appropriate AI licensing, and properly configured access and services. Depending on their infrastructure and data governance requirements, teams can explore PTC-hosted or supported customer-hosted deployment options.
NxRev can help you evaluate your current Codebeamer environment, understand licensing and deployment requirements, and prepare your team to incorporate AI into existing engineering workflows.
AI works best when it’s built on a foundation of reliable data, consistent processes, and well-managed requirements—and we can help you get there.
Contact Us for Setup, Pricing, or a Demo
