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Asana launches AI Teammates to enhance team collaboration

September 26, 2025•Phil Wainewright•Original Link•2 minutes
AI
Collaboration
Workplace Automation

Asana introduces AI Teammates to help teams automate tasks and reduce agent sprawl in enterprises

Work management platform Asana has introduced AI Teammates, a new beta feature designed to enhance enterprise team collaboration rather than replace individual workers. The initiative aims to counter agent sprawl—a growing concern as employees independently deploy AI tools without organizational oversight.

Key Features of AI Teammates

  • Team-Centered Approach: Unlike personal AI assistants, AI Teammates operate at the team level, sharing context across multiple users.
  • Context Memory Management: Users can review and edit the information shared with AI agents, ensuring accuracy and relevance.
  • Accountability & Governance: Agents integrate with Asana’s existing workflows, providing transparency into tasks and decision-making.

Victoria Chin, Head of AI Strategy at Asana, emphasized the importance of structured deployment:

"Agent sprawl is a major concern for CIOs due to cost, security, and productivity risks. Treating AI agents like teammates—shared across teams with best practices—prevents redundancy and wasted effort."

Use Cases Highlight Efficiency

Early adopters have used AI Teammates for:

  • Financial Services: Analyzing complex pricing portfolios in minutes instead of days.
  • Media Companies: Validating creative files against brand guidelines, saving thousands of hours.

Chin noted:

"AI Teammates excel at ambiguous tasks where traditional automation fails. They complement workflows by handling nuanced, evolving work."

Governance and Oversight

  • Admins retain control over AI agent creation and access.
  • Each agent has a profile detailing tasks, projects, and memory.

Industry Implications

Asana’s research underscores the advantages of team-based AI automation over fragmented individual tools. The company warns against viewing AI merely as a cost-cutting measure, advocating instead for strategic adoption to improve business outcomes.

For more details, visit Asana’s AI Teammates overview.

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About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2
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