The Scenario
You are the HR coordinator and the new-hire roster for next month's cohort just got finalized. Thirty-five rows in an Excel workbook: first name, last name, work email, job title, department, start date, location. The hiring managers confirmed headcount two hours ago.
Onboarding day is nine days out.
The bad version:
- Open BambooHR, click "Add Employee," type in the first row's details field by field, hit save, navigate back.
- Repeat for employee two. And three.
- Somewhere around row 20, a phone call interrupts you. You come back, re-check your place in the workbook, and realize you already created row 20 — now there is a duplicate to clean up.
- Finish at 6 PM, realize three records have the wrong department because you mis-read a row.
Nine days is plenty of time for onboarding prep. It is not plenty of time if two of those days disappear into manual profile creation.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, maps each row to the BambooHR employee creation API, and creates every record in bulk.
Read the Excel table 'NewHires' and create one BambooHR employee per row using FirstName, LastName, Email, JobTitle, Department, and HireDate columns; write the new employee ID into the 'EmployeeID' column.
SheetXAI works through every row in the NewHires table, calls the BambooHR API once per employee, and writes the resulting employee ID into the EmployeeID column. When it finishes, the ID column is your confirmation that each record landed.
What You Get
- One BambooHR employee profile per row in the NewHires table.
- EmployeeID column populated for every successful creation.
- Rows that fail (duplicate email, missing required field) get an error message in EmployeeID instead of a silent skip.
- The workbook becomes the audit trail — the ID column tells you exactly which records exist in BambooHR.
What If the Data Is Not Quite Ready
Department names don't match BambooHR exactly
The workbook has "Eng" where BambooHR expects "Engineering." A mismatch causes the API to reject the record.
Before creating records, check the Department column against BambooHR's department list and flag any value that doesn't match an existing department. Write the mismatch note in a 'DeptCheck' column.
Hire dates are in inconsistent formats
Some rows have dates as "5/1/2026," others as "May 1 2026," and a few are blank.
Normalize all dates in the HireDate column to YYYY-MM-DD format. If a date is missing, write 'missing date' in EmployeeID and skip that row.
The table has non-hire rows mixed in — subtotals or blank separators
Create BambooHR employee records only for rows where the Email column contains an @ sign and the FirstName column is not empty. Skip all other rows.
Full normalize-and-create in one pass
Trim whitespace from all text columns in the NewHires table. Normalize HireDate to YYYY-MM-DD. Skip rows where FirstName or Email is blank. Create a BambooHR employee record per remaining row using FirstName, LastName, Email, JobTitle, Department, and HireDate. Write the new employee ID into EmployeeID or an error message if creation fails.
The pattern: data cleanup and the API writes happen in a single instruction.
Try It
Get the 7-day free trial of SheetXAI and open your new-hire roster in Excel, then ask it to create the BambooHR records for each row. You can also bulk-update employee fields after onboarding to push any initial corrections back into BambooHR.