The Scenario
Payroll runs Monday. It is Thursday afternoon and your payroll manager just Slacked you asking for the leave export.
Specifically: every pending and approved time-off request with a start date in the next 60 days, pulled into a Google Sheet, with employee name, time-off type, start date, end date, status, and notes. She needs it before end of day to cross-check against the payroll calculations.
You have done this before. Last month it took you 45 minutes just to get the export into the right shape.
The bad version:
- Open BambooHR's time-off section, set the date filter, select "Approved" status, export to CSV.
- Repeat for "Pending" status since BambooHR exports one status at a time.
- Open both CSVs in separate tabs, combine them manually, add a column for status since the export doesn't label which file the rows came from.
- Reformat the date columns because the CSV export uses a format that Google Sheets treats as text.
It is now 4:45 PM. The payroll manager needed it by 4.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, connects to BambooHR, and pulls time-off request data across any date range and status combination in a single call.
Fetch all BambooHR time-off requests with start dates between today and 60 days from now and write employee name, time-off type, start date, end date, status, and notes into this sheet.
SheetXAI queries the BambooHR API, pulls both pending and approved requests in one pass, and writes the results into the sheet with the exact columns you asked for — dates formatted, status labeled, notes included.
What You Get
- Every pending and approved time-off request in the next 60 days, one row per request.
- Columns: employee name, time-off type, start date, end date, status, and notes.
- Status column clearly labels each row as Approved or Requested — no ambiguity.
- Dates arrive in a format Google Sheets can read without any text-to-date conversion.
What If the Data Is Not Quite Ready
The payroll manager wants the date range driven by cells in the sheet
She wants to be able to change the start and end dates without asking you to re-run the prompt.
Fetch all BambooHR time-off requests with start dates between the date in cell B1 and the date in cell B2, status 'approved' or 'requested', and write employee name, time-off type, start date, end date, and status into this sheet starting at row 4.
You need to cross-check against the payroll column already in the sheet
There is already a column in the sheet (column G) with each employee's scheduled payroll amount. You want to flag any employee with approved leave who also has a non-standard payroll entry.
Fetch all approved BambooHR time-off requests for the next 30 days and write them into rows below row 3. Then flag any employee name that also appears in column A of the 'Payroll' tab with a non-zero value in column G — write 'check' in a new column.
You want leave grouped by team for the department heads
Each department head wants to see only their team's leave in a separate section.
Fetch all BambooHR time-off requests with start dates in the next 60 days and sort the results by department. Write department name as a header row before each group, then list employee name, type, dates, and status under each header.
Full pull with conflict detection in one prompt
The payroll manager also wants to know if any two employees in the same small team (under 5 people) are out on the same days.
Fetch all BambooHR time-off requests for the next 60 days. Write them into the sheet. Then identify any date where two or more employees in the same department are both on approved leave and flag those rows in a 'Conflict' column with 'overlap.'
The pattern: pulling the data and applying the business logic — conflict detection, grouping, cross-referencing — happens in a single instruction.
Try It
Get the 7-day free trial of SheetXAI and open your payroll prep sheet, then ask it to pull this month's leave requests from BambooHR. You can also pull time-off balances if the payroll team needs to see accrued totals alongside the request details.