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Key takeaways
AI time logging drafts today's time log from the tasks you've actually touched in Teamwork.com, so most of your timesheet is done before you open it, and fewer billable hours quietly disappear.
Type or speak in plain language to add anything missing, or ask what you haven't logged yet, so every billable hour gets captured while it's fresh, not chased down weeks later.
Every draft stays editable and nothing saves until you click Log time, so accurate billing data stays in your hands, not the AI's.
Open the Log Time modal in Teamwork.com, click over to the Log my day tab, and the entries are already there: an hour on a client kickoff call, thirty minutes on competitor research, two hours drafting a homepage design. Teamwork.com built each of these from the tasks and projects you actually worked in today, before you typed a single word.
That's a bigger shift than it sounds. Time logged late or reconstructed from memory means missed billable hours and messier margins on real client delivery, the kind of gap that quietly erodes how much finance can trust the numbers in front of them. The fix isn't asking people to try harder at something they already avoid: it's removing the blank form and the guesswork entirely. AI time logging skips the reconstruction, and hands back the time and headspace that used to go into it.
Your day arrives already drafted
AI time logging looks at the tasks and projects you've touched, then builds a suggested time log for each one, fully editable, with a running total so you can see the shape of your whole day, and how much of it is billable, before you commit to any of it.
None of this asks you to remember what you did. It asks you to recognise it, which takes seconds instead of the dread of opening a blank Log Time form and trying to piece together a day you can barely remember. That's real time and mental energy back, every single day.
Activity alone doesn't capture everything, though, which is where AI time logging's other trick comes in.
Fill in the gaps, in your own words
Not every hour comes from activity data. Meetings, calls, and ad hoc requests don't always leave a trail inside Teamwork.com, so AI time logging also takes plain language, typed or spoken. Describe your work the way you'd tell a colleague, for example "Spent two hours updating the homepage design for the Acme project," and Teamwork.com works out the project, task, duration, description, and billable status, then adds it as another draft alongside the rest.
The same input handles the opposite problem too: the hours you forgot to log at all. Ask what you haven't logged this week, or which client's hours are missing, and Teamwork.com checks your activity against your existing time logs to surface the gap, rather than leaving it for finance to chase down a month later.
Nothing logs until you say so
By now, Teamwork.com might have drafted a dozen entries between your activity and what you've described, and none of them are real yet. Change anything on a draft, or delete it if it doesn't belong there at all: a draft only becomes a real time log the moment you decide it should, by clicking Log time yourself.
That distinction matters more than it sounds. The hours behind client delivery decide what gets billed, how a project's margin holds up, and how much finance can trust the numbers in front of them. AI time logging doesn't ask anyone to get better at tracking time, it asks them to confirm what Teamwork.com already saw them do, and that's what makes accurate, same-day logging realistic instead of aspirational.
Next time you open Log Time, head to the Log my day tab before reaching for the blank form. There's a good chance your day, and a healthier chunk of this month's billable hours, is already halfway logged.
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