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Enterprise AI Workspace

Intro

We identified new entry points into the market, and several major clients have expressed interest in enterprise-level AI workspaces. As a result, we decided to pivot towards the enterprise sector. The main design challenge lay in introducing role-based access control (RBAC) to what was previously a personal workspace without any roles. Unlike the workspace itself, each AI Agent also has distinct, independent roles, making the flow design particularly complex and challenging.

  • Personal AI
  • 2024-2025
  • Lead Product Designer + QA

  • Sharon Z. (CTO, AI Engineer)
    Imran K. (Front-end Engineer)
    Ishaan P. (PM)
    Miroslav V. (Backend Engineer
  • Figma, Jira, Miro, Notion, After Effect

    • New users complete AI Agent onboarding in ≤ 5 minutes (exclude AI data training)

    • Secure at least one major enterprise contract within 3 months of product launch

  • Facing a rapidly evolving AI landscape, we identified new market entry points, and several major clients showed strong interest in enterprise AI workspaces. Consequently, we pivoted our strategy to focus on enterprise solutions.
  • Case Study (Password Required)

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