Mixing too many independent projects under one license increases the risk of AI confusion, irrelevant results, and reporting errors.
Each Jira or Confluence project has its own structure — different fields, workflows, terminology, and data models.
When they’re connected under one workspace, SQAI may misinterpret relationships between stories, test cases, or documentation.
Potential issues include:
Test cases generated for the wrong project or product.
Confused AI prompts or inconsistent summaries.
Cross-linked issues between unrelated backlogs.
Blurred analytics and reporting across teams.
How to prevent it:
Keep one workspace per major Jira or Confluence project — especially if they serve different products, clients, or environments.
This ensures your AI stays accurate, focused, and auditable.