AI Capabilities
We use AI not as a buzzword, but as a practical tool to enhance human productivity across your development lifecycle.
AI for Traceability
Our AI suggests potential links between work items, requirements, test cases, and code changes — speeding up the creation of a complete traceability matrix. What used to take hours now takes minutes.
Saves a team of 100 developers ~2,000 hours per month on manual traceability tasks.
AI for Requirements
Automatically generate acceptance criteria, test case skeletons, and risk tags from natural language requirements. Reduces the time from requirement to test-ready by up to 50%.
Cuts requirement-to-test conversion time in half, improving quality from day one.
AI for Impact Analysis
When a code change is proposed, Arcadia's AI analyzes potential impact on existing tests, requirements, and downstream functionality — surfacing risks before they become problems.
Runs automatically with every pull request. Developers see impact before merge.
Human in the Loop
Our AI doesn't replace your team — it augments them. All AI suggestions are reviewable and require human approval. Train the AI on your domain-specific terminology: medical device safety terms, automotive ISO standards, aerospace DO-178C concepts.
Domain-trainable AI that learns your industry's specific language and standards.
Measurable Impact
AI is reshaping the ALM market today — and Arcadia is at the forefront.
Reduction in development cycle times (McKinsey data)
Cut in defect rates with AI-assisted traceability
Hours saved per month for a 100-developer team