Enhancing Efficiency in Polarion with AI-Driven Requirements Management

Requirements management is one of the most complex and error-prone aspects of project development. Without the right toolchain, teams struggle with inconsistencies, missing traceability, and inefficient handling of requirements updates. Extracting relevant requirements from incoming RFQs, tenders, or contracts is a tedious and time-consuming process – one that is challenging to every organization.

The solution, AI-powered requirements management in Polarion – a breakthrough that streamlines the entire process. AI-driven automation ensures seamless requirement extraction, intelligent mapping, and automated tracking, reducing manual efforts and significantly improving project estimation.

The Challenge

Traditional requirements management relies heavily on manual input. When a organization receives a new RFQ, contract, or requirement specification, teams must manually:

• Extract requirements from documents such as PDFs, Word files, or Excel sheets, or other.
• Map them to existing solutions from previous projects, heavily relying on undocumented knowledge of domain experts
• Ensure traceability, linking them to relevant stakeholders and project requirements.

This approach is:

Automated Requirements Management in Polarion

With AI-driven capabilities, Polarion automates the most tedious parts of requirements management. AI enhances the process through:

1. Automated Requirement Extraction

• AI scans incoming RFQs, tenders, and contracts.
• It automatically extracts relevant requirements without manual input.

2. Intelligent Requirement Mapping

• AI understands the meaning of requirements (not just keyword matching).
• It matches new requirements to existing ones, reducing duplication and enhancing consistency.

3. Version Control & Change Tracking

• AI identifies changes between different requirement versions.
• It highlights modifications, ensuring teams stay up to date with the latest specifications.

4. Improved Traceability & Compliance

• AI links extracted requirements to stakeholders and project workflows.
• Ensures regulatory compliance by maintaining full traceability.

AI continuously learns about your products and organization through user interaction

Key Benefits of AI-Driven Requirements Management

🚀 Increased Efficiency

• Reduces manual effort by up to 70%, freeing up valuable engineering time.
• Speeds up the requirements intake process significantly.

🔍 Higher Accuracy & Consistency

• AI eliminates human errors and inconsistencies in requirement handling.
• Ensures standardized requirement mapping across projects.

🔄 Seamless Handling of Changes

• AI detects requirement modifications, preventing overlooked updates.
• Enables proactive risk management by analyzing impact.

📜 Enhanced Traceability & Compliance

• Maintains an audit-ready log of all requirement changes.
• Improves compliance with industry standards (e.g., Automotive SPICE, ISO 26262).