Asana Is Now Live: AI Agents That Work Your Tasks and Projects

Assign an Asana task to your AI employee and it gets to work, like anyone else on your team. That's how AI agents for Asana work in AgentTeams, now that Asana is live: your AI employee picks up the tasks assigned to it, answers when someone mentions it in a comment, chases blockers, and drafts the project status updates you'd otherwise write yourself. Asana holds the plan, and your AI employee keeps it honest.

Below is what it can do, three setups to start with, and how the connection works. The Asana overview shows what teams use it for, and the Asana help page has every step and permission.

What your AI employee can do in Asana

• Work assigned to it. Assign it a task and it does the work, then marks the task complete. It also checks its own to-do list: what's assigned to it and what's due first.
• Tasks. It finds tasks by name, words in them, tag, section or due date, and reads a task with its subtasks and comments. It creates tasks and subtasks (also from your task templates), copies them, assigns them, sets due dates, tags and custom fields, and links tasks that wait on each other.
• Comments and files. It comments on tasks, edits and pins its own comments, and mentions teammates so they're notified. It adds and removes followers, reads the files attached to a task, and attaches files and links.
• Projects and sections. It creates projects (also from your project templates, or as a copy of another), adds and removes members, moves tasks between sections and projects, and adds, renames and reorders sections.
• Status updates and rollups. It reads and posts project status updates (on track, at risk, off track) and drafts the weekly report: what shipped, what's at risk, what's blocked. Ask “what's the status of all client launch projects?” and you get a real rollup across projects.
• Blockers and due dates. It watches comments and dependencies, flags tasks blocked for more than two days, and pings the person who can unblock each one, with the context. It checks upcoming due dates against actual progress and, for the ones that won't make it, drafts a replan and asks for sign-off instead of letting them slip.
• Goals, portfolios and time. On Asana plans that have them, it reads goals and updates their progress and status, reads its portfolios and adds projects to them, and logs the time it spends on a task.

Three setups to start with

• The Friday status for a campaign launch. A launch can involve a dozen people across creative, brand, paid and ops. Add your AI employee's Asana user to the launch project and tell it Friday is status day. It watches every task, flags the creative review that's slipping and chases the missing approvals, so the launch lead stops spending Thursday afternoons on follow-ups. On Friday it drafts the status and, once the lead approves, posts it to the project.
• Weekly updates for agency clients. Each client project has its own template and milestones. Ask your AI employee to set up a new client's project from your template; from then on it keeps the project on that template and drafts the client-facing update every week, for the account lead to review and send.
• Chasing on cross-team projects. Office moves, vendor migrations and year-end audits touch every team and rarely have one owner. Your AI employee links the tasks that wait on each other, runs the status updates and does the chasing: when a task has been blocked for more than two days, it mentions the person who can unblock it in a comment, with the context, so they're notified.

How the connection works

You connect Asana from your AI employee's Tools tab: click Sign in with Asana, sign in with the Asana account your AI employee should use, yours or a user of its own, and allow AgentTeams. There is nothing to type.

In Asana, your AI employee works as the user who signs in: tasks assigned to that user and comments that mention them go to it, and the comments and tasks it writes carry that user's name. A user of its own, with your AI employee's name and picture, is the cleanest choice, because teammates can then assign it work and mention it like anyone else.

Asana gives a connected app the same access as the user who allows it. Add that user to the projects your AI employee should follow: it hears about new tasks and comments only in projects it's a member of, plus every task assigned to it. Projects it joins later are picked up within the hour, and so are projects it leaves.

Connecting switches on three reactions from the start: a task assigned to your AI employee, which it works on and completes; a comment that mentions it, which it answers; and a comment on a task assigned to it, which it reads and answers when there's something to do. On the Tasks page you can also switch on reactions to new tasks, completed tasks and every comment in its projects. Your AI employee never reacts to its own changes, so one update can't set off another.

The reaction to new tasks is the one for task triage. Give that reaction instructions on how you sort incoming work, and your AI employee reads each task added to an intake project, sets its tags and custom fields, assigns it and moves it to the right section.

Common questions about AI agents for Asana

• Will it change things without asking? Only where you let it. Every change it wants to make in Asana goes through a review step first, and your company's rules decide which changes need a person to approve them. A sensible start: reporting and blocker detection on their own from day one, task creation and replanning behind approval, loosened per action once the updates look right. The guide to setting guardrails covers approval gates in more depth.
• Which Asana plan do we need? Any plan, including the free one. Searching inside task descriptions is part of Asana's paid plans, and so are dependencies, goals, portfolios and time tracking. On the free plan your AI employee finds tasks by name and works without the rest.
• Does it replace Asana's own automation? No, the two work well together. Asana's Rules handle fixed steps (when a status changes, do this). Your AI employee takes the judgment work they can't capture: writing the actual status, deciding which blockers are real and choosing a realistic replan.
• What does Asana send us? A notice when something changes in your AI employee's projects or on its own tasks. We look into and keep only the changes it has a reaction for, and drop the rest straight away. Nothing from your projects is used for training.
• How do we stop it? Open the employee's Tools tab, open the Asana card and click Disconnect. It stops working in Asana at once, Asana stops sending us changes, and we revoke its access. To end it from Asana's side too, remove AgentTeams under Settings, then Apps. Everything it already wrote in Asana stays in place.

Where this fits

Asana joins Jira and Linear on the project management side of the integrations catalog. With Asana connected, your AI employee is a member of the project: people assign it work, mention it in comments, and read the status it keeps current.

Ready to try it? Give your AI employee an Asana user of its own, add it to the projects it should follow, then open the employee's Tools tab and connect Asana. New to AgentTeams? Start with the walkthrough of hiring your first AI employee.