"Asana Introduces Customizable AI Teammates for Enhanced Project Management and Workflow Optimization"

Asana Unveils AI Bots to Enhance Collaboration and Productivity

Asana is introducing AI bots designed to enhance teamwork and boost productivity. Now available in beta, these customizable “AI teammates” can power workflows and take proactive actions to ensure tasks are completed efficiently. Like traditional AI assistants, their primary goal is to enhance focus and offer insights on task prioritization.

Leveraging OpenAI and Anthropic for training, Asana’s AI teammates are powered by its unique Work Graph data model. This model organizes historical relationships across an organization’s teams, work, and workflows, similar to Facebook’s Social Graph, but tailored for workplace efficiency.

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Asana plans to release its AI teammates more broadly later this year.

AI Teammates: Key Highlights

![Image credit: Asana]

Dustin Moskovitz, Asana’s co-founder and CEO, states, “The future of work is about seamlessly combining humans and AI to drive productivity and innovation. We excel in this area because Asana is built on the Work Graph, linking work and workflows to organizational goals, making our AI teammates effective collaborators.”

Asana claims its AI teammates offer “limitless” customization options, catering to workflows of all types and complexities, across any industry. Importantly, human users will retain control throughout the process, echoing responsible AI practices seen in companies like HubSpot and Zendesk.

Organizations can configure AI teammates through Asana’s existing rules engine. Users can define workflow triggers for the bots, their specific roles, and the actions they should execute. Paige Costello, Asana’s Head of AI, explains, “Customers can provide additional guidance at each step, including uploading company-specific documents like glossaries or org charts for reference.”

![Image credit: Asana]

Users will access the AI teammate via a chat interface available on Asana’s mobile and web apps, allowing quick assistance for queries such as, “What blockers threaten this goal?” or “Who in my company has expertise in this area?” Asana paid tier members will see the AI chat feature launch later this month.

In one illustrative case, a prominent outdoor advertising company employed AI teammates to manage incoming requests, gather necessary information, assign tasks based on context, assist with research, and improve reporting accuracy with consistent data.

Asana's approach reflects a broader trend among software providers moving from traditional chatbots to more intelligent, autonomous agents. By utilizing private data, these systems aim to minimize errors and enhance the relevance of their responses. The Work Graph plays a crucial role in this process.

![Image credit: Asana]

“AI requires context to function effectively,” Costello states. “The Work Graph offers insight into people, tasks, and workflows, so AI can effectively interpret signals from enterprise data. With this context, AI can provide intelligent assistance, automate tasks, and collaborate as a true teammate.”

Costello further emphasized, “With this relevant context, Asana AI teammates become the most knowledgeable and organized project managers, guiding you in planning and executing work, and even handling many tasks themselves instead of merely delegating.”

Asana is currently collaborating with several unnamed enterprise customers to refine its AI teammates before a wider launch in 2024, with pricing details to follow. In the coming year, Costello indicated a goal to integrate AI teammates with more external tools, enhance reporting capabilities, and tackle increasingly complex tasks. This could lead to potential integrations with other digital assistants like SAP’s Joule or Microsoft’s Copilot, alongside support for third-party applications.

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