Overview
Use Polarion inside ChatGPT, Claude, and Cursor. Query requirements, analyze change impact, and write code, all without leaving your AI tool.
Key Capabilities
Change Impact Analysis
Change a requirement and immediately see the blast radius - which tests break, which code is affected, and which downstream specs need updating. No more surprise cascades during audits.
Regulatory Impact Analysis
Upload regulatory documents (ISO 26262, DO-178C, IEC 62304, etc.) and instantly map which regulations impact which requirements. Trace compliance obligations directly to your specs.
Speed Up Design Reviews
Find conflicts, gaps, and inconsistencies before the meeting, not during it. AI reviews your requirements against each other and flags issues, so you walk in prepared.
Code With Full Requirements Context
Generate code that aligns with your specifications. AI sees your Polarion requirements, understands design intent, and writes an implementation that matches what was actually specified, not what it guesses.
Natural Language Queries
Ask questions like "Show me all safety requirements" or "Which requirements have no test coverage?" and get answers instantly without navigating the Polarion UI.
And So Much More
If you can think it, AI can help you do it with your live Polarion data as context.
How It Works
The MCP server connects to your Polarion instance via the REST API. Engineers authenticate once, then work entirely inside their AI tool - querying, analyzing, and generating from live requirements data.
Use Cases
- Systems Engineers - Analyze change impact before committing updates
- Compliance Teams - Map regulations to requirements, audit traceability
- Developers - Write code with full spec context, not hallucinated assumptions
- QA Teams - Find coverage gaps, generate test cases from specs
ATOMS POLARION Integration Demos
Built By
ATOMS Tech - Siemens Technology Partner specializing in AI-native requirements management for regulated industries.