Problem:
Manually tracking and logging time is often forgotten or done in a rush, leading to inaccuracies and missed billable hours.
Proposed Solution:
We’re exploring an AI feature that tracks user activity across BrightManager and suggests time entries based on task interactions and completion. The goal is to make time logging nearly effortless while improving accuracy.
We’d love your input:
How do you currently track time, at the point of doing a job or at the end of the day? And what issues do you face with the process?
Would you be comfortable with AI passively monitoring activity to suggest time logs?
What level of control or review would you want before a suggested time entry is saved?