Asana launches AI work suite designed for teams that include both humans and AI agents

Asana launched a new suite letting human teams and AI agents share tasks, context, and oversight in one platform. FedEx cut planning cycles from weeks to days using the tools, saving over 1,200 staff hours a year.

Categorized in: AI News Product Development
Published on: Jun 10, 2026
Asana launches AI work suite designed for teams that include both humans and AI agents

Asana launches AI work suite to manage human and agent teams

Asana released a new product suite designed to help organisations manage work with both human staff and AI agents operating in the same environment. The announcement marks the company's largest product shift to date and reflects growing demand from businesses moving beyond AI pilots to routine deployment.

The suite centres on Agentic Work Management, which provides teams with shared context and governance as people and AI agents collaborate. It also includes Asana Dash, described as an AI Chief of Staff for individual users, and expanded AI Teammates for marketing, operations, sales and project management functions.

Why companies struggle with AI adoption

Asana's research found that only 14% of Australian organisations have scaled AI across multiple workflows, despite 46% of workers using AI weekly. The company identified four barriers preventing companies from moving beyond experiments: difficulty identifying the right AI tools, integrating them into team processes, providing sufficient operating context, and maintaining oversight of data access and costs.

Jo Gaines, General Manager for Asia Pacific at Asana, said organisations that successfully scale AI are 2.6 times more likely to redesign workflows around AI rather than simply layering it onto existing processes.

New products and applications

Asana Dash tracks individual user goals, priorities and work across teams and software tools. It captures follow-up actions from meetings, Slack conversations and email, then converts them into structured work items within Asana's platform.

The expanded AI Teammates now include a chat interface, in-product recommendations, a skills library for repeatable tasks and integrations with Gmail, Outlook, Slack, HubSpot, Figma and Canva. Asana is also introducing industry-specific AI agents for manufacturing, retail and other sectors with specialised workflows.

The company acquired StackAI to extend workflow orchestration beyond Asana into customer relationship management software, enterprise resource planning systems, support platforms and custom infrastructure. This addresses a central challenge in workplace AI adoption: linking planning and execution across different business systems while maintaining a record of decisions.

For product development teams specifically, Asana is introducing Command by Asana, designed to help managers model backlog work against release schedules. The company is also launching Asana Service Management for internal IT, HR and facilities teams, and Asana Client Management for professional services teams handling client delivery.

Real-world results

FedEx deployed AI Studio and AI Teammates across marketing and sales, reporting a nine-fold improvement in speed to market and annual operating savings worth hundreds of thousands of dollars. In one marketing workflow, the company reduced more than 24 intake forms to a single process, cutting planning cycles from weeks to days and freeing over 1,200 hours annually.

COS, the fashion brand within H&M Group, cut campaign setup time by 90% and doubled asset output to more than 1,000 assets per campaign using the same tools. The changes removed nearly 3,000 hours of annual manual work.

Agentic Work Management, including AI Teammates and AI Studio, is available now. Asana Dash and the role-specific applications will roll out in phases over the coming months.

Product development professionals managing backlogs and release schedules may find AI for Product Development resources useful for understanding how to integrate these tools into existing workflows. Teams automating repetitive work should also explore AI Agents & Automation to assess broader adoption patterns.


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