Asana believes agents’ ability to collaborate & execute nuanced work alongside humans not just act autonomously is the secret to AI-powered teamwork
Asana, a leading work management platform, unveiled AI Teammates, a new class of collaborative agents designed to understand the full context of work across organizations. These AI-powered teammates support multiple teams simultaneously, continuously learning and adapting from human interactions to enhance both the speed and quality of collaborative work across businesses.
The launch addresses widespread concerns about the limitations of autonomous agents, with research indicating that such agents fail at 70% of basic tasks. The challenge isn’t the capability of AI itself, but rather that conventional agents typically assist individual users without the context, checkpoints, and controls needed to function as effective teammates capable of executing complex workflows.
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“Everyone is building autonomous agents, but autonomy is the wrong goal,” said Dan Rogers, CEO of Asana. “Work is highly nuanced – enterprise workflows encompass many teams, multiple data points and impact all levels of the organization. Agents can only collaborate effectively with humans if they have access to the company’s operational framework or ‘blueprint’ to who is doing what by when, how, and why. Our Work Graph® data model provides exactly that – giving AI Teammates a rich history of context, processes and data.”
“Importantly, our approach also gives humans control over how agents access data and consume resources – with admin visibility and usage limits at their fingertips. This keeps AI costs predictable even if AI Teammate adoption is rapid and widespread.”
AI Teammates build upon Asana’s existing AI capabilities, including AI Studio, a no-code tool that enables teams to create automated workflows for high-volume, repeatable tasks.
Key Features That Set AI Teammates Apart
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Context: AI Teammates understand organizational goals, workflows, and team structures via the Asana Work Graph®, maintaining institutional knowledge and adapting to team practices while making decisions aligned with business objectives.
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Checkpoints: Operating fully within Asana’s platform, AI Teammates maintain transparency and accountability, showing step-by-step actions, incorporating team feedback, and providing clear visibility into performance and outcomes.
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Control: Enterprise-grade governance ensures teams manage data access, permissions, operational parameters, and AI resource consumption, preventing rogue automation and controlling costs.
Driving Real Impact Across Departments
AI Teammates deliver tangible benefits across critical business functions:
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Marketing: Serve as Campaign Strategists and Creative Partners, drafting briefs, tracking deliverables, and accelerating content development.
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IT: Act as Ticketing Specialists, automatically categorizing requests, troubleshooting issues, and updating knowledge bases.
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Product & Engineering: Function as Bug Investigators and Sprint Accelerators, consolidating reports, tracking progress, and flagging risks.
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Operations & PMO: Operate as Launch Navigators and Insights Analysts, monitoring cross-functional projects and summarizing complex data for leadership.
“What excites me most is how quickly our customers are finding value with AI Teammates,” said Rogers. “Teams across every industry are discovering new ways to delegate meaningful work, and the use cases keep expanding as they see what’s possible. The organizations that master human and AI collaboration – rather than chasing autonomy – will be the ones that pull ahead. They’ll move faster, achieve more ambitious goals, and create competitive advantages that are hard to replicate. We’re excited to be the platform that makes this all possible.”
Global Companies Embrace Collaborative AI
“Asana AI Teammates helps us to securely unlock the institutional knowledge within our work data, generating data-driven insights that inform critical business decisions. In one use case, it completed weeks of complex research in hours. This helps to evolve how our teams operate and supports our ability to deliver results at scale,” said Laura Kohl, CIO, Morningstar.
