Asana Buys StackAI for $75 Million as Race to Build AI-Agent Workflows Accelerates

Asana has acquired StackAI, a San Francisco-based no-code AI agent builder, in a deal worth about $75 million, giving the work-management company a deeper foothold in the fast-growing market for enterprise AI agents.

The acquisition, announced alongside Asana’s latest earnings update, brings StackAI’s founders Tony Rosinol and Bernard Aceituno into Asana. Both founders are MIT PhDs, and their company has built a platform that allows enterprises to create, deploy, and manage AI agents without requiring employees to write code. StackAI will continue operating as its own product and brand after the deal.

For Asana, the acquisition is more than a feature add-on. It is part of a broader effort to reposition the company from a traditional project and task management platform into what it describes as the operating system for human-agent teams. Asana CEO Dan Rogers said the deal pushes the company into the next stage of human-agent collaboration, where AI agents do not simply assist workers but become part of how complex business workflows are executed.

The move lands at a moment when enterprise software companies are racing to define the AI-agent layer of work. The question is no longer whether companies will use AI assistants. It is whether those assistants can reliably connect to business systems, follow company rules, retrieve trusted data, and complete real tasks across departments.

What StackAI adds to Asana

StackAI gives Asana a no-code platform for building AI agents that can work across enterprise systems. Its tools are designed for teams in finance, risk, operations, IT, enterprise architecture, and other departments that need automation but do not always have dedicated engineering support.

The platform uses a visual, drag-and-drop interface that lets users build agents in a few clicks. These agents can connect to systems such as Salesforce, Slack, Google Workspace, AWS, Oracle, and IT service management tools. They can also be deployed as website widgets, forms, Slack bots, Microsoft Teams tools, APIs, or dedicated URLs.

That flexibility matters because enterprise AI often breaks down at the point of execution. A chatbot can answer a question, but a useful workplace agent needs to pull from internal data, understand business context, cite sources, trigger actions, and operate inside existing systems. StackAI is designed for that more practical layer of work.

The company also supports major language models, including OpenAI, Anthropic, DeepSeek, Llama, and custom knowledge bases. Its product supports retrieval-augmented generation workflows, allowing companies to build agents that answer questions using internal documents, SharePoint files, URLs, and other knowledge sources. StackAI has positioned itself around enterprise-grade security, including SOC 2, HIPAA, and GDPR compliance.

The missing piece in Asana’s AI strategy

Before the acquisition, Asana had already been building its AI product line around AI Teammates and AI Studio. AI Teammates are designed to assist with day-to-day work, while AI Studio allows teams to create simpler automations inside Asana. StackAI fills a different role: orchestration across complex, end-to-end workflows that reach beyond Asana itself.

That distinction is important. Many companies already have project data in Asana, customer data in Salesforce, documents in Google Workspace, messages in Slack, infrastructure in AWS, and finance or operations data in other systems. The hard part is not generating an AI response. The hard part is getting an AI system to work across that fragmented environment without breaking governance, security, or accountability.

StackAI gives Asana a way to make a more credible claim in that space. It can now argue that it is not only helping teams track work, but also helping humans and agents coordinate work across the systems where business actually happens.

That is the real strategic value of the deal. Asana is trying to move from being a system of record for work to becoming a system of action for human-agent collaboration.

Why no-code AI agents are becoming valuable

The rise of no-code AI platforms reflects a practical problem inside companies. Business teams want AI agents that understand their workflows, but they cannot wait for engineering teams to build every internal tool from scratch. At the same time, companies cannot simply allow employees to connect ungoverned AI tools to sensitive data.

StackAI sits in the middle of that tension. It gives non-technical teams a way to build custom AI assistants, chatbots, and workflow automations while still offering enterprise controls around deployment, model choice, and data access.

Common uses include IT service automation, compliance Q&A, finance workflows, operations support, and internal knowledge retrieval. A company could create an agent that answers employee questions from policy documents, routes IT requests, summarizes financial processes, or helps operations teams trigger repeatable workflows without manually switching between systems.

That is why enterprise software companies are treating AI agents as the next major workplace layer. The first wave of workplace AI helped users write, summarize, and search. The next wave is about execution: agents that can act across tools, coordinate tasks, and carry work forward under human supervision.

StackAI’s startup momentum made it an attractive target

StackAI had raised about $19 million before the acquisition, including a recent $16 million Series A round. Its backers included Y Combinator, Lambda, Gradient, Soma Capital, True Capital Management, Epakon Capital, Beat Ventures, and Weaviate’s CEO.

The company’s growth reflected rising demand for AI-agent infrastructure among enterprises. Paid plans started at $199 per month, signaling that StackAI was not positioned as a casual consumer tool but as a business platform for teams building operational AI systems.

For Asana, buying StackAI gives it technology, talent, and a product category that would have taken time to build internally. It also gives the company a stronger answer to rivals trying to embed AI agents into productivity, collaboration, and workflow platforms.

A wider race for the agentic workplace

Asana’s acquisition is part of a larger shift across enterprise software. Platforms that once competed on task management, collaboration, workflow automation, or customer data are now competing to become the place where AI agents are created, managed, and supervised.

The timing is notable because other companies are also moving toward agent-based infrastructure. Payments companies are exploring agentic commerce. Productivity companies are adding AI teammates. Cloud companies are building agent platforms. The common thread is that software vendors want to control the environment where human workers and AI systems interact.

For Asana, the StackAI deal shows that its AI strategy is moving beyond embedded assistant features. The company wants to own more of the workflow layer where agents perform real business actions.

The acquisition does not settle who will win that market. Large enterprise vendors, AI labs, cloud providers, and workflow automation companies are all moving quickly. But it does show how valuable agent orchestration has become.

Asana built its business around helping teams understand who is doing what and when. With StackAI, it is betting that the next version of that question will be different: which humans, which agents, and which systems are responsible for moving work forward.