The Scenario
You are the HR coordinator running onboarding for next month's cohort. The spreadsheet is ready — 35 rows, one per new hire, with first name, last name, work email, job title, department, start date, and location all filled in. You got it from the hiring managers two days ago and have been waiting on final headcount confirmation.
That confirmation just came through. Onboarding day is in eight days.
The bad version:
- Open BambooHR, click "Add Employee," fill in the first row's fields manually, hit save, then repeat 34 more times.
- Lose your place at row 17 because Slack interrupted you, go back in, and realize you already created that one — now you have a duplicate to delete.
- Finish at 6:30 PM only to find three records have the wrong department because you mis-read from the wrong column.
Eight days is enough time — unless you spend two of them on data entry that a computer should be doing.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands your column structure, and through its built-in BambooHR integration it creates each employee record directly — no manual UI clicks, no copy-pasting.
Create a BambooHR employee record for each row in this sheet using column A as first name, column B as last name, column C as work email, column D as job title, column E as department, and column F as hire date; write the returned employee ID into column G.
SheetXAI works through every row, calls the BambooHR API once per new hire, and writes the resulting employee ID back into column G. When it finishes, you have a completed column of BambooHR IDs confirming each record was created.
What You Get
- One BambooHR employee profile created per row, with all specified fields populated.
- The new employee ID written into column G for each successful row.
- Any row that fails (duplicate email, missing required field) surfaces an error message in column G instead of a blank or a silent skip.
- The sheet becomes your audit trail — ID column tells you exactly which records landed.
What If the Data Is Not Quite Ready
Some rows have inconsistent department names
BambooHR requires department names to match exactly what is already in the system. If your sheet has "Engineering" but BambooHR expects "Software Engineering," the record will fail.
Before creating employee records, check column E against BambooHR's department list and flag any values in column E that don't match an existing department name — write the mismatch in column H.
Hire dates are in mixed formats across the column
Some rows have dates as "5/1/2026," others as "May 1, 2026," and a few are blank.
Normalize all dates in column F to YYYY-MM-DD format before creating the BambooHR records. If a date is missing, write "missing date" in column G and skip that row.
The sheet has extra rows that are not new hires
There are header rows, subtotals, or blank rows mixed in. You don't want BambooHR records created for those.
Create BambooHR employee records only for rows in this sheet where column C contains a valid email address (contains @ sign) and column D is not empty; skip all other rows.
Full cleanup and create in one shot
The data came from three different hiring managers using different conventions. You want it normalized and loaded in one go.
For each row where column A and column B are both filled in: normalize the date in column F to YYYY-MM-DD, trim whitespace from all text columns, then create the BambooHR employee record using columns A through F; write the new employee ID into column G or an error message if creation fails.
The pattern: handle cleanup and the API action in a single instruction so you're not running two separate passes over 35 rows.
Try It
Get the 7-day free trial of SheetXAI and open your new-hire roster in Google Sheets, then ask it to create the BambooHR records for each row. You can also look at how to export the full employee directory or bulk-update employee fields after onboarding is done.