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Key takeaways
Ask AI answers questions about your live Teamwork.com data in plain language, no report-building required.
It doesn't stop at the answer: you can act on it immediately, from the same conversation.
It only ever sees what you already have access to, confirms before it changes anything, and your data is never used to train AI models.
Whatever you need to know is already in Teamwork.com: resourcing, budgets, task status, all of it live. The only question is how many clicks stand between you and it. Ask AI removes them: ask what you'd ask a colleague, typed or said out loud, and get the answer straight from your own data. It's just as useful whether you live in Teamwork.com every day and want the fast route past a report you could otherwise build, or you're new to the platform and wouldn't know where to start looking in the first place.
Getting a real answer, without building a report
Ask "how much budget is left on the projects due this week," and Ask AI pulls the number from live time and cost data, not a snapshot from last week, and links straight back to the underlying project so you can check the details yourself. Ask who's over or under capacity today, and you get specific people and their available or allocated hours, not just a general "the team's stretched." Ask where a task or a comment lives, and it finds it even if you couldn't remember which project it was buried in.
That's what makes the answers real rather than generic: Ask AI isn't guessing from a support article. It’s a real-time snapshot of how your business is operating, pulled from your actual projects, budgets, and time logs as they stand right now.
The part that's actually new: acting on what you just learned
Ask AI doesn't stop at the answer. A few examples of what you can do with it right there in the conversation:
A project's slipping. Draft the update to the client or the team right there, without switching to a different tab to write it.
The timesheet's a mess. Tell it what you worked on and when, across several tasks or several days, in one request, instead of filling it in entry by entry. It reads the entries back to you before saving anything, so a bulk request doesn't mean bulk mistakes.
Someone's over capacity. Reassign the work, or follow up on a specific task, from the same thread that told you the problem existed.
And it's not limited to those three. The same create-edit-approve ability works across almost any Teamwork.com object: tasks, projects, milestones, messages, notebooks, comments and time logs, so the fix is rarely more than one more request away from the answer that surfaced it.
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It only knows and does what you're already allowed to do
None of this reaches further than you already can. Ask about a project you don't have access to, and it won't show up in the answer at all, not partially, not redacted, just absent, the same as if you'd tried to find it manually. Try to take an action outside your permissions, like editing a task you don't own, and Ask AI declines and explains why, rather than quietly failing or, worse, doing it anyway. And none of what you ask or share is used to train AI models.
That's the whole shift: not a smarter search bar, but the search and the fix in the same breath. It lives in a slide-out drawer wherever you're already working in Teamwork.com, complete with suggested questions on your busiest pages so you're never staring at a blank box, and it remembers your last conversation and panel size, so picking up a thread doesn't mean starting over.
Ask AI is currently in Early Access, with a broader rollout planned. However you use Teamwork.com today, it's worth trying with the question you'd normally build a report to answer.
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