rewrite this title Asana AI Teammates: Why Collaborative AI Is the Key to Scaling Productivity Across Entire Organisations – UC Today

Most organisations are still waiting for the productivity revolution AI promised. Asana believes it knows why. Almost every AI tool built so far targets individuals, not teams.

Victoria Chin is Senior Director of Product Strategy for AI at Asana. She told UC Today that Asana AI Teammates are “inherently collaborative” and purpose-built for multiplayer work.

“There are many useful AI platforms making individuals faster,” Chin said. “But not as many actually make entire teams or organisations more effective.”

Asana’s research shows more than half of knowledge workers’ time goes on coordination work. Status updates, follow-ups, and organisational back-and-forth eat into the time people should spend on strategic work. AI Teammates target that problem at scale.

Context Is Everything

What separates Asana AI Teammates from standard copilots is context. They live natively inside the Asana platform. Asana has spent over 15 years building its work data model. That means AI Teammates understand goals, timelines, dependencies, and team priorities from day one.

They also carry shared memory. Every team member benefits from what the AI learns, not just the person who prompted it first. We covered Asana’s earlier steps toward AI-driven coordination and the direction of travel is clear.

Real Results from Real Customers

Asana’s beta programme attracted over 200 customers before general availability. Early results are strong.

Investment research firm Morningstar saved approximately 15,000 person-hours annually across research and pricing functions. It also cut its IT ticket intake process by two weeks. German vehicle suspension manufacturer KW Automotive saves several hours per report. Its AI Teammate correlates data across multiple projects simultaneously, removing manual analysis time.

Built-In Governance

Asana addresses IT governance concerns through its existing role-based access controls. Administrators control who can create, use, and manage agents across the organisation. Controls operate at both the organisation level and the individual user level.

Coordination work still costs businesses billions in lost productivity. For a broader look at where AI is delivering real returns right now, see our guide to the best AI productivity use cases in 2026. Asana’s bet is clear: the next wave of AI value will not come from empowering individuals. It will come from empowering entire teams.