Asana, the work management software company, has acquired Stack AI, a no-code platform for building AI agents that operate across enterprise systems such as Salesforce, Slack, and Google Workspace. The acquisition, reported at $75 million, was announced on 28 May 2025 after market close, timed to coincide with Asana's first-quarter earnings call. Stack AI founders Tony Rosinol and Bernard Aceituno will join Asana as part of the deal. The companies did not officially disclose financial terms, but multiple sources confirmed the valuation.

What Stack AI Brings to Asana

Stack AI was part of Y Combinator's Winter 2023 cohort and had raised just under $20 million in total funding, including a $16 million Series A backed by Gradient, Epaklon Capital, Lobby VC, LifeX Ventures, and Vercel CEO Guillermo Rauch. The platform allows companies to design, test, deploy, and govern custom AI agents that automate business-critical workflows without writing code. Stack AI's key differentiator is its ability to execute tasks across multiple enterprise systems—a capability Asana's current AI products lack.

Asana had already launched AI Studio and AI Teammates, but these operate strictly within Asana's own work management environment. Stack AI's agents can reach into ERP, CRM, and IT service management systems to automate processes like customer support, compliance workflows, and cross-functional operations. This cross-system execution layer is what Asana CEO Dan Rogers described as a crucial step toward making Asana the "operating system for human-agent teams."

AI Teammates, which became generally available in April 2025 at $15 per user per month, provides pre-built agents for roles in marketing, IT, and operations. With Stack AI, those agents can now extend beyond Asana's boundaries, executing tasks in Salesforce, Slack, and other tools that organizations already use.

Earnings Behind the Deal

Asana reported first-quarter revenue of $205.1 million, up 9.5% year over year, beating the consensus estimate. Earnings per share came in at $0.10 against a $0.07 consensus, and the company posted record GAAP and non-GAAP operating margins. Asana raised its full-year revenue guidance to $855 million to $863.5 million, up from a prior range of $850 million to $858 million. The numbers were good enough to lift the stock 3.3% in after-hours trading to $6.88, but the broader trajectory has been painful.

The SaaSpocalypse—a market-wide repricing of per-seat software companies in early 2026—hit Asana hard. The stock has lost more than 53% of its value since the start of 2025 and trades at roughly $1.5 billion in market capitalization, down from a peak of nearly $20 billion in 2021. The acquisition comes as Asana tries to reverse that decline by pivoting aggressively to AI-driven workflows.

A Company in Transition

The acquisition lands during a period of deep change at Asana. Co-founder Dustin Moskovitz announced in March 2025 that he would step down as CEO, and Dan Rogers, formerly of LaunchDarkly and ServiceNow, took over in July 2025. Moskovitz moved to the role of Chair, where he contributes to product vision and AI strategy.

Rogers has leaned hard into the AI pivot. The argument is that Asana's Work Graph—a data model that maps projects, tasks, ownership, and dependencies across an organization—provides the context and governance layer that AI agents need to operate reliably. Stack AI adds the execution capability, letting those agents carry workflows into systems outside Asana's walls. This combination of context and execution is what Rogers believes will differentiate Asana in a crowded market.

Stack AI's founders bring deep experience in no-code AI. Tony Rosinol previously built AI products at companies like Microsoft and Facebook, while Bernard Aceituno had a background in enterprise software engineering. Their team of about 30 engineers is expected to integrate into Asana's broader AI group.

Competitive Pressure and Market Context

Asana is not the only work management company buying its way into AI agents. Zendesk acquired Forethought in its largest deal in two decades, betting that 2026 will be the year AI agents handle more customer service interactions than human agents. Google launched a suite of enterprise AI agent tools at Cloud Next 2026. Salesforce has positioned Agentforce as its core product strategy. Monday.com and Notion have both shipped agent features of their own.

Stack AI itself faced fierce competition from automation platforms like Zapier and from AI labs like OpenAI and Anthropic, which have built their own agent-building tools. The no-code agent-builder market has grown crowded fast, and Stack AI's decision to sell rather than raise another round suggests the standalone path was becoming harder. For Asana, the question is whether $75 million buys enough technology to change the company's trajectory.

Software companies are restructuring around AI agents across the industry, and competitors are cutting staff to fund the same transition Asana is trying to make through acquisition. A stock that has lost half its value in five months needs more than a narrative shift. It needs the agents to work, the customers to pay for them, and the revenue to accelerate fast enough to justify the bet.

Technology and Integration Details

Stack AI's platform is built around a visual drag-and-drop interface for creating AI agents. It uses large language models from providers like OpenAI, Anthropic, and Google, combined with custom connectors to over 50 enterprise tools. Agents can be designed to handle complex multi-step workflows, including data extraction, decision making, and action execution. The platform also includes monitoring and governance features to ensure agents comply with organizational policies.

Asana's plan is to integrate Stack AI's technology directly into its own platform, making it available to all Asana customers. The combined offering will allow users to build agents that can, for example, automatically create tasks in Asana based on emails from Salesforce, or escalate support tickets to a human agent when an AI agent reaches its limit. The integration will leverage Asana's Work Graph to provide context—such as who owns a task, what dependencies exist, and what deadlines are approaching. Stack AI's existing customers will also be migrated to the Asana platform over time.

Dan Rogers stated during the earnings call that the acquisition will accelerate Asana's roadmap for AI Teammates, with deeper integrations expected in the second half of 2026. The company also plans to open up its agent framework to third-party developers, allowing them to build custom agents for specialized use cases.

Financial Implications and Risks

The $75 million acquisition price represents a significant premium over Stack AI's total funding of under $20 million. For Asana, which reported $205.1 million in quarterly revenue and positive operating margins, the deal is relatively modest in size. However, it comes at a time when Asana's market cap has shrunk dramatically, making acquisition currency less attractive. Asana paid in cash and stock, though the exact mix was not disclosed.

Analysts have questioned whether the acquisition can meaningfully impact Asana's revenue growth, which has decelerated from over 30% in 2022 to single digits in 2025. The company expects AI Teammates to contribute to growth in the coming quarters, but the impact may take time to materialize. Integration costs and the need to retain Stack AI's engineering talent also pose risks.

Asana's stock has been underperforming since the SaaSpocalypse began in early 2026, with investors souring on per-seat pricing models that were once the darlings of the software industry. The company's pivot to AI agents is seen as a necessary response, but it is not without competition. Larger players like Microsoft and Google have far deeper resources, while nimble startups continue to innovate.

For Stack AI, the acquisition offers a lifeline. The company had been struggling to gain traction against well-funded rivals like Zapier and the DIY agent builders from OpenAI. Joining Asana gives it access to a large customer base and a proven distribution channel. However, it also means leaving behind its independent roadmap and brand.

Broader Industry Trends

The acquisition reflects a broader trend in enterprise software: the race to embed AI agents into every workflow. Gartner predicts that by 2028, 40% of large enterprises will use AI agents to automate at least one core business process. Work management platforms like Asana are uniquely positioned to orchestrate these agents because they already manage task assignment, deadlines, and dependencies. Adding cross-system execution makes them even more central to the enterprise stack.

The SaaSpocalypse has accelerated this trend, as software companies seek to demonstrate value beyond feature-adds. Investors now favor companies that can show real efficiency gains from AI, rather than just incremental product updates. Asana's bet is that by combining its Work Graph with Stack AI's execution layer, it can offer a transformative solution that justifies higher prices and renews growth.

Meanwhile, the AI agent landscape continues to evolve. Companies like Anthropic have released agent-building tools that compete directly with no-code platforms. Zapier's AI-powered workflows already connect over 5,000 apps. And Salesforce's Agentforce is deeply integrated into its CRM ecosystem. Asana's competitive advantage lies in its workflow orchestration capabilities, but it will need to execute flawlessly to catch up.

The acquisition also highlights the role of Y Combinator in the AI ecosystem. Stack AI, like many startups from the Winter 2023 batch, was built to capitalize on the generative AI boom. Three-quarters of W23 companies raised follow-on funding, but many have since been acquired or shut down as the market consolidates. Asana's deal is one of the larger exits for a YC AI company in 2025.

Looking ahead, Asana plans to continue investing in AI R&D, with a focus on making its agents more autonomous and reliable. Rogers has stated that the company aims to have agents handle 50% of routine work management tasks by the end of 2026. Whether that goal is achievable depends on the successful integration of Stack AI's technology and the adoption of AI Teammates among enterprise customers.

Source: TNW | Apps News