Enterprise collaboration software company Asana is accelerating its transformation into an AI agent. On May 29, the company announced it would acquire Stack AI, a no-code AI agent development platform, for $75 million. This marks Asana's first acquisition in 18 years. Following the announcement, released alongside the company's first-quarter results, its stock price rose more than 13% that day.
This deal is not just about adding a new product. Asana is trying to position itself from traditional job management software to an enterprise platform that manages collaboration between human employees and AI agents. As generative and agent-based AI rapidly enters enterprises, the per-employee SaaS model is facing increasing pressure.
Seat-based fee model under pressure
In the past, software companies like Asana typically relied on expanding their workforce to drive revenue growth; the more employees they had, the more software seats they purchased. However, AI agents can handle some tasks that previously required multiple people, leading the market to reassess the growth logic of SaaS companies.
Since the AI boom began, Asana's market capitalization has shrunk by about half. Over the past year, the company's stock price fell from a 52-week high of $19 to a low of $5.38. The core concern in the market is whether companies will still need traditional work management tools if AI can directly perform more and more tasks.
Stack AI will complement proxy execution capabilities.
Stack AI's products are a no-code platform that allows enterprises to deploy AI agents across multiple systems and enable them to perform cross-process tasks. For example, new employee onboarding processes, marketing content reception and quality control, and publishing through content management systems can all be executed in a coordinated manner by the agent.
Asana CEO Dan Rogers stated that within the next two to three years, most employees will likely have AI agents assisting with their work. At that time, the challenge for businesses will no longer be how people collaborate, but rather how people and agents, and agents among themselves, can maintain consistency and complete their respective tasks.
He described Asana's new role as "the operating system for human-machine teams." Following this line of thought, Asana is no longer just responsible for project tracking, but rather assumes a coordinating role, connecting different departments, systems, and agents within the enterprise.
Financial results exceeded expectations and integration progressed.
Asana also reported first-quarter revenue of $205.1 million on the same day, a 9.5% year-over-year increase, exceeding the upper end of the company's previous guidance. The company remains in a net loss position, but management stated that AI Studio and AI Teammates, launched over the past year, have accounted for more than 17% of new annual recurring revenue.
The company also stated that the number of AI Studio customers with annual spending exceeding $100,000 nearly doubled during the quarter. Rogers believes this demonstrates that enterprise customers are willing to pay for AI capabilities and lays the foundation for Asana's subsequent integration with Stack AI.
According to the disclosure, Stack AI's two co-founders, Toni Rosinol and Bernard Aceituno, along with a team of approximately 55 people, will join Asana. Rogers anticipates that the two companies' products will be fully integrated within two to three months.
However, Asana faces stiff competition. Companies like Salesforce and ServiceNow are also developing similar cross-system AI agent orchestration capabilities. Asana's advantage lies in the fact that its products are already embedded in the marketing, IT, operations, and planning processes of many large enterprises, providing a certain level of horizontal coverage. Whether it can successfully complete its transformation depends on the speed of its subsequent product rollout and enterprise adoption.
