Asana AI Studio now offers AI agent creation for workflow management
As the year draws to a close, the number of platforms emerging to help enterprises integrate AI agents into their technology stack shows no signs of slowing down.
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One such platform is Asana, a work management platform that has already made significant strides in AI agent technology with its new AI Studio feature. AI Studio allows users to build workflows on Asana and deploy multiple custom AI agents directly on the workflow, without the need for coding. This innovative feature empowers teams to create their own AI agents, rather than relying on pre-built agents, allowing them to tailor their agents to specific workflows and tasks.
According to Alex Hood, Asana's chief product officer, the key innovation of AI Studio is its ability to empower teams to create their own AI agents, rather than relying on pre-built agents. This allows teams to automate tasks that are not critical to the workflow, but still require significant time and effort, freeing up time to focus on more important work. In today's work environment, employees are spending an average of 53% of their time on "busy work" – tasks that are not critical to the workflow, but still require significant time and effort. By automating these tasks with AI agents, teams can reduce the time spent on non-essential tasks and increase productivity.
Asana's AI Studio is built on the company's Work Graph data model, which tracks cross-functional work in an organization. This allows AI agents to be integrated seamlessly into existing workflows, rather than being bolted on as an afterthought. The Work Graph data model provides a comprehensive view of an organization's workflows, enabling AI agents to make informed decisions and automate tasks more effectively.
One of Asana's first customers to use AI Studio is Morningstar, a financial data company that used the platform to centralize IT project requests and streamline the workflow for evaluating new projects. According to Belinda Hardman, director of Program Management at Morningstar, the new workflow has eliminated the need for manual back-and-forth between teams, allowing the company to focus on more important tasks. The AI agents deployed on the workflow have automated tasks such as data entry, freeing up team members to focus on higher-value tasks.
The rise of AI agents is a significant trend in the technology industry, with Microsoft, Salesforce, and ServiceNow all announcing their own AI agent platforms in recent months. Microsoft is set to release a suite of AI agents for its Dynamics 365 service this week, further expanding the capabilities of AI agents in the enterprise. However, despite the proliferation of AI agents, many of these platforms still function as individual "islands" of agents, communicating only with other agents built on the same platform.
The next frontier for AI agents will be the ability to communicate with agents elsewhere, allowing for seamless integration across different workflows and systems. As more enterprises become comfortable with AI agents and begin deploying them into their organizations, this future may come soon enough. With AI Studio, Asana is poised to lead the way in this next phase of AI agent development, empowering teams to create their own custom AI agents and revolutionize the way they work.
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