Asana has introduced a new product suite for organisations managing work with human staff and AI agents, calling it its biggest product shift so far.
The suite includes Agentic Work Management, which is intended to let teams manage work in a shared environment where AI tools operate alongside employees. It also includes Asana Dash, which the company describes as an AI Chief of Staff for individual users, and a new set of AI Teammates for functions including marketing, operations, sales and project management.
The launch comes as businesses in Australia and across the wider Asia Pacific region continue to test how AI can be applied beyond small pilot projects. Asana says only 14% of Australian organisations have scaled AI across multiple workflows, while 46% of Australian workers use AI weekly.
It argues that many companies struggle to move from experiments to routine use because staff find it difficult to identify the right AI tools, use them within team processes, provide enough operating context, and maintain oversight of data access and cost.
New products
At the centre of the announcement is Agentic Work Management, designed to give teams a common plan, shared context and governance when people and AI agents work together. Asana is positioning the system as a way to reduce repetitive administrative work and help users identify the next task that needs attention.
Asana Dash is aimed at individual users. The tool is intended to track a user's goals, priorities and work across teams and software tools. It can capture follow-up actions from meetings, Slack conversations and email, then turn them into structured work items inside Asana's platform.
For teams, Asana has expanded its AI Teammates with a chat interface, in-product recommendations, a skills library for repeatable tasks and integrations with software including Gmail, Outlook, Slack, HubSpot, Figma and Canva. It is also introducing industry-specific AI agents aimed at manufacturing, retail and other sectors with specialised workflows.
StackAI role
The launch also reflects Asana's acquisition of StackAI. With that technology, customers can orchestrate multi-step workflows that extend beyond Asana into systems such as customer relationship management software, enterprise resource planning systems, support platforms, contract databases and custom infrastructure.
That broader reach is meant to address one of the central challenges in workplace AI adoption: linking planning and execution across different business systems while keeping a record of decisions and handovers.
Asana is also preparing a set of more targeted applications built on the same approach. These include Asana Service Management for internal service teams such as IT, HR and facilities; Command by Asana for planning and product development; and Asana Client Management for professional services teams handling client delivery.
In IT service management, the software will connect ticket handling with project execution. In product development, the application is intended to help managers model backlog work against release schedules. In professional services, the client management product is designed to bring client communication, project delivery and internal resource planning into one system.
Executive view
Dan Rogers, Chief Executive Officer at Asana, framed the launch within the company's longer history in work management software.
"For 18 years, Asana has solved one of the hardest problems in business: helping teams coordinate at scale across goals, decisions, and handoffs. The foundation we built - the Enterprise Work Graph, shared memory, multiplayer coordination, and governance - is precisely what the agentic era requires. Asana's OS is how AI moves from helping individuals work faster to supercharging entire organisations," Rogers said.
Jo Gaines, General Manager, APAC at Asana, linked the release to regional AI adoption patterns.
"Across Asia Pacific, organisations are moving quickly from AI experimentation to enterprise-wide adoption, but many are still struggling to operationalise AI at scale," Gaines said.
"Our research shows organisations that successfully scale AI are 2.6 times more likely to redesign workflows around AI rather than simply layering it onto existing processes. The next phase of AI is about creating a system where humans and AI agents can work together seamlessly to drive measurable business outcomes, and that's exactly what our new product suite aims to provide," Gaines said.
Customer examples
Asana cited early use cases from large organisations already using parts of its AI offering. FedEx has deployed AI Studio and AI Teammates across marketing and sales and reported a nine-fold improvement in speed to market, along with annual operating savings worth hundreds of thousands of dollars.
In one marketing workflow, FedEx reduced more than 24 intake forms to a single process, with AI tools drafting go-to-market plans and creative briefs. According to Asana, that change cut planning cycles from weeks to days and freed more than 1,200 hours a year. In sales enablement, intake review time fell from 90 minutes to 30 minutes, while leadership teams used AI-generated summaries and status updates to gain visibility into global initiatives.
Asana also pointed to work with COS, the fashion brand within H&M Group. COS used AI Studio and AI Teammates across marketing, eCommerce and regional teams, cutting campaign setup time by 90%, doubling asset output to more than 1,000 assets per campaign and removing nearly 3,000 hours of annual manual work.
"Asana hasn't merely improved our processes - it has redefined how we work."
Agentic Work Management, including AI Teammates and AI Studio, is available now. Asana Dash and the new role-specific applications will be introduced in phases over the coming months.