Acquisition adds orchestration for complex workflows that span enterprise systems, data, and teams
Asana, Inc., the operating system for human-agent teams, announced it has completed the acquisition of StackAI. StackAI is a no-code AI workflow platform that enables companies to design, test, deploy and govern custom AI agents and intelligent automation of business-critical workflows. The platform connects workflows, data, and actions across enterprise systems such as ERP, CRM and ITSM, to automate operational processes like customer support, IT service requests, compliance workflows, and broader cross-functional business operations. Based in San Francisco, the company has built an impressive track record with customers across financial services, healthcare, and professional services; industries that demand the highest security, reliability, and enterprise-grade governance.
StackAI is one of the few products that can execute these processes end-to-end across enterprise tools with multi-agent workflows – reading and acting in Salesforce, AWS, Docusign, Oracle, document systems, and industry applications through bi-directional sync.
Bringing StackAI and Asana together pairs cross-system execution with the platform where teams already plan and run their work alongside the context, ownership, and history of every project. AI Teammates serve as the bridge, pulling context from the Work Graph® into StackAI workflows and sending resulting actions and data back into Asana. While most AI tools today are designed for one person working with one agent, Asana agents are multiplayer and allow many people to interact with and improve a single agent through approvals, handoffs, and shared plans. This makes it possible for humans and agents to collaborate on workflows that span any system or team, and those workflows get smarter every time they run.
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Dan Rogers, CEO of Asana, explains, “This acquisition accelerates our roadmap and marks the next phase of human-agent work. We’re seeing real momentum with AI Teammates and AI Studio: customers are augmenting their teams with purpose-built agents that take on everyday work and use AI Studio to build automations around highly repetitive processes like request intake and task routing. StackAI now lets them go further, agentifying the most complex business processes end-to-end, across every system and tool their business runs on. This is an incredibly exciting time for Asana. We’re primed to help enterprises unlock the real productivity promise of AI.
“In our own proof of concept with the StackAI team, we transformed our Search Engine Optimization spend process in minutes. StackAI agents quickly pulled live data across five marketing systems, summarized the insights, and handed work over to AI Teammates trained by their human counterparts to take action. We were blown away, and we think our customers will be too.”
The StackAI team is led by co-founders Tony Rosinol and Bernard Aceituno, both MIT PhDs who are shaping the next wave of enterprise AI. They are joining Asana as part of the acquisition.
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Tony Rosinol from StackAI states, “StackAI was built on a simple conviction: AI creates ROI for enterprises when agents can specialize and reach into the systems where business actually runs. General-purpose agents talk; specialized agents act. So we built a platform to let anyone build agents for manual and important enterprise processes. We then proved ourselves within some of the most heavily-regulated companies in the world.
“Joining Asana is the moment our offering scales. We bring the cross-system workflow engine; Asana brings a company’s entire business context, memory, team workflows and governance – along with an established enterprise sales motion and thousands of customers waiting for exactly what we’ve built.”
Rogers continued, “Asana is the operating system for human-agent work. Our customers can run governed, reliable workflows across teams, systems and data. Foundation models will continue to improve and orchestration tools will continue to multiply. The enduring value will belong to the system that can coordinate all of them inside the flow of real operational work – with the context, governance, memory, and execution capability that make every cycle smarter than the last. We are closing the gap from pockets of individual productivity to enterprise-wide workflow productivity – humans and agents working together at the right checkpoints, on the workflows that actually matter.”
