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Info: Multi-context Workspaces

Mixing too many independent projects under one license increases the risk of AI confusion, irrelevant results, and reporting errors.

Updated September 8, 2026

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 โ€” different fields, workflows, terminology, and data models.
When theyโ€™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 โ€” especially if they serve different products, clients, or environments.

This ensures your AI stays accurate, focused, and auditable.

Read more FAQs on our public pricing page


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