Asana launches an AI teammate. These are agents who understand the context of the entire organization and can support multiple teams simultaneously.
According to Asana CEO Dan Rogers, autonomy is a wrong goal for AI agents. “ORK is very subtle. Enterprise workflows include many teams, multiple data points, and impact every level of your organization,” says Rogers.
Research shows that autonomic drugs fail in 70% of basic tasks. The problem lies not in AI capabilities but in the lack of context and control within a complex business environment.
AI teammates run within the Asana platform. This ensures transparency and accountability. Teams can see exactly how agents work, where they are active, and what outcomes they have achieved.
Agents have enterprise-grade governance. The team controls data access, user rights, and operational parameters. This ensures that AI works within an organization's framework without sacrificing trust or predictable costs.
Context with work graph
AI Teammates are built on Asana's Work Graph Data Model. This allows agents to access business information, including team goals, workflows, and organizational structure. This allows you to make decisions that align with your business goals.
Team memory allows agents to build institutional knowledge, continually adapt to the team's mechanisms, and maintain the context of the entire project and interaction.
Practical applications by department
For marketing, AI teammates can act as campaign strategists. Draft reports on campaign briefs, deliverable tracking and ROI. It also serves as a creative partner for content creation and brand consistency.
In this, the agent processes service tickets through automatic classification and routing. Resolve problems, identify patterns, and keep your knowledge base up to date.
In products and engineering, bug investigators act as the primary line of defense. Interpret bug reports, consolidate duplicates, and assess severity. Sprint Accelerator tracks progress and flags risks.
For operation, the launch navigator acts as a tracker for launches beyond functionality. Monitors the risk of dependencies and flags. Insights analysts transform project data into concise reports for managers.
AI teammates are expanding ASANA's current AI capabilities. The company already has AI Studio, a no-code builder for AI workflows that handle repetitive tasks at scale.
The new agent is now available in beta.
Tip: ASANA workloads should help prevent burnout
