Asana acquires StackAI: no-code AI agents for workflows

The deal in a nutshell: who is StackAI and why Asana wanted it

StackAI is a startup specializing in building AI agents visually. Its superpower is the no-code approach: anyone can piece together smart workflows without writing a single line of code. Because of this, it's a great match for the strategy Asana has been following for a few quarters now.

Asana has already put money into artificial intelligence with cool features like AI Studio and Smart Fields. Still, building autonomous agents was pretty limited. With StackAI, the platform jumps right in to fill that gap. The acquisition was confirmed by TechCrunch on May 28, 2026 .

Therefore, the operation is not just a defensive move against the competition. It is a precise positioning in the market for automation tools for non-technical teams. This market is rapidly expanding, as documented by Gartner in its analyses on AI for business .

Timeline of a long-awaited acquisition

StackAI gained visibility during 2025, positioning itself as an accessible alternative to enterprise agent builders. The platform allowed connecting language models, databases, and external APIs through a drag-and-drop interface. Additionally, it supported integration with tools already common in companies, such as Slack, Google Workspace, and Notion.

Asana, for its part, had already made it clear they wanted to beef up their automation-focused AI features. Back in 2025, the company launched AI Studio in beta for enterprise customers. Even so, building custom agents was still out of reach for regular users.

The acquisition of StackAI closes this loop. Following integration, Asana users will likely be able to access a unified environment to design, test, and deploy AI agents directly within their projects and portfolios. This represents a qualitative leap compared to automations based on static rules.

Winners, losers, and those watching closely

The first clear winner is the end-user of Asana in non-technical operational roles. Project managers, marketing managers, and team leaders will be able to build agents without relying on an IT department. Therefore, implementation times shorten and development costs decrease.

Among the subjects watching closely are direct competitors. Monday.com, ClickUp, and Notion are all investing in AI. However, none of them have yet acquired a no-code agent builder with the technical depth of StackAI. As a result, Asana gains a time advantage that could translate into higher retention among enterprise clients.

Conversely, standalone automation platforms — like Zapier or Make — might face increasing competitive pressure. If Asana natively offers AI agent building, some users might reduce their reliance on third-party tools. Similarly, middleware vendors will need to differentiate themselves further to remain relevant.

Finally, it's worth mentioning the implications for AI model providers. StackAI is built to be agnostic to the underlying language model. Therefore, integration into Asana could open up partnerships with OpenAI, Anthropic, or Google, further expanding the ecosystem.

SHM Studio's take: what this means for Italian SMEs

We at SHM Studio we work daily with Italian SMEs operating in B2B and retail contexts. One of the most frequent questions we receive concerns AI: how does it concretely integrate into business processes without requiring an in-house data scientist team?

The acquisition of StackAI partially answers this question. In fact, a no-code builder for AI agents within an already adopted project management platform significantly lowers the barrier to entry. An SME that uses Asana to coordinate teams won't have to learn a new tool. They can simply extend what they already know.

However, it's important to maintain a realistic perspective. The integration will take time before it's available for all plans. Additionally, the quality of the agents will depend on how clearly the underlying processes are defined. An AI agent built on a poorly structured workflow won't produce better results than traditional automation.

For this reason, the real competitive advantage lies not in the tool itself, but in the ability to map and optimize processes before automating them. It is consulting work that precedes any technological choice. Our AI services start right from this point.

Three operational scenarios for those managing marketing and sales teams

It's helpful to picture concretely how a no-code AI agent could be used in typical Italian SME settings. Here are three plausible scenarios, based on StackAI's already documented capabilities.

• Automatic lead qualification: An agent can collect data from forms, CRM, and LinkedIn, evaluate the contact's profile, and automatically assign a priority score. This reduces the time sales reps spend on manual selection. For more on acquisition strategies, see our section on LinkedIn campaigns .
• Automated reporting: an agent can aggregate data from multiple sources — Google Analytics, CRM, advertising tools — and generate summary reports weekly. As a result, the marketing team saves hours of manual work. This integrates well with the activities of google ads campaigns that we handle for our clients.
• Guided customer onboarding: an agent can walk a new customer through the first steps of a service, answer common questions, and automatically escalate tricky requests to the human team. This way, you take a load off customer service without losing any of that great experience.

These scenarios aren't sci-fi. They're practical applications made possible by no-code tools. Plus, they tie right into the activities of Digital marketing and process optimization that many SMEs are already exploring.

The work in progress: what remains to be defined

The acquisition has been announced, but a lot of details are still up in the air. First off, it's not known yet when StackAI will be rolled into Asana's standard plans and at what price point. Deals like this usually take six to twelve months before rolling out stable features for everyday users.

Furthermore, data governance is a critical issue. AI agents operate on sensitive company data. Therefore, SMEs will need to carefully evaluate security and compliance policies before adopting these features. In Europe, the GDPR regulatory context adds a layer of complexity that should not be underestimated. On this front, the McKinsey report on the state of AI offers a useful take on the priorities of European companies.

Finally, the question of the learning curve remains open. No-code doesn't mean zero effort. Designing an effective agent requires understanding processes, testing skills, and a willingness to iterate. Therefore, companies that invest in internal training will achieve better results than those that expect ready-made solutions.

Next moves: how to get ready before the integration arrives

Anyone who wants to be ready when StackAI's features become available in Asana can get started today with a few concrete actions.

• Map repetitive processes: identify which team activities take up the most time and follow predictable patterns. These are the ideal candidates for your first AI agent automation.
• Check data quality: AI agents produce better output when working with structured and up-to-date data. Therefore, an audit of your CRM and analytics tools is a must-have first step. Our offer of SEO services also includes an analysis of content quality and structured data.
• Train the team on the basics of AI: you don't need to become a machine learning expert. Still, getting a grip on how language models and agent systems work helps set realistic expectations.
• Explore pilot use cases: start with a single, low-risk process. Measure the results. Then scale up. This step-by-step approach cuts down the risk of putting money in the wrong place.

For those who want structured support in this journey, the team at SHM Studio is available for an initial consultation. You can contact us through the contact page . We work on projects of web development , SEO copywriting and AI automation with an integrated approach designed for Italian SMEs.

To stay updated on the evolution of this market, we also recommend following the our blog , where we publish regular analysis on digital tools, platforms, and strategies.