The Scenario
The reorg landed two weeks ago. Fifteen teams consolidated into nine. Eighty employees moved into new departments, and half of them also got updated job titles.
You are the HR admin who has been tasked with making sure BambooHR reflects the new structure before payroll runs on Friday.
The spreadsheet came from the HRIS lead: column A is the BambooHR employee ID, column B is the new department name, column C is the new job title. Eighty rows. Clean data, confirmed by the department heads.
The bad version:
- Open BambooHR, search for the first employee ID, click into the profile, update the department field, update the job title field, save, go back to the directory.
- Repeat for employee two. Then three. Then four.
- By row 30, you are copy-pasting from the sheet with one hand and clicking through BambooHR profiles with the other, and you have started making small errors.
Eighty records at that pace is a full workday — and payroll runs Friday.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your update table, maps each row to the right BambooHR employee by ID, and pushes the field changes through the API in bulk.
For each row in this sheet, update the BambooHR employee with the ID in column A, setting the 'department' field to the value in column B; write 'updated' in column C.
SheetXAI works through every row, calls the BambooHR API for each employee, and writes a confirmation status into column C. When it finishes, you have an auditable record of what updated successfully and what flagged an error.
What You Get
- Each row in the sheet triggers a BambooHR field update for that employee ID.
- Column C gets "updated" on success, or an error description if the update failed.
- The sheet itself becomes the change log — you can share it with the HRIS lead as confirmation.
- No BambooHR profiles to open manually.
What If the Data Is Not Quite Ready
Some employee IDs in column A are from the old system and may not match BambooHR
The HRIS lead pulled the IDs from a legacy export and a few might be stale.
Before updating, check that each employee ID in column A exists in BambooHR. Write 'found' or 'not found' in column D, then update only the rows marked 'found.'
You also need to update the manager field for a subset of employees
Column D in the sheet has the new manager's BambooHR ID, but only for some rows — others are blank.
For each row in this sheet, update department to column B and job title to column C for the employee ID in column A. Also update the manager field to column D if column D is not empty. Write 'done' or any error in column E.
Department names in column B have inconsistent capitalization
The sheet came from three department heads with different formatting habits — some all-caps, some mixed.
Before running the updates, normalize column B to title case to match BambooHR's department naming convention, then update each employee's department and job title.
Full normalize-and-update in one pass
The data has whitespace issues, a few blank rows, and you want confirmation and a timestamp logged per row.
Clean column B and C by trimming whitespace and normalizing to title case. Skip any row where column A is empty. For each remaining row, update the BambooHR employee's department and job title. Write the update status and current timestamp into columns D and E.
The pattern: data normalization and the API write happen in one instruction — no intermediate cleanup step needed.
Try It
Get the 7-day free trial of SheetXAI and open your department change sheet, then ask it to push the updates into BambooHR. Once the reorg is reflected, you can also pull the updated employee directory to confirm the structure looks right across all teams.