The Scenario
The data cleanup project took three weeks. A contractor worked through 200 customer records and flagged corrections in a new Google Sheet — updated emails in column C, corrected phone numbers in column D, sevdesk contact IDs in column A. The office manager now has a clean spreadsheet and a mandate to get the changes into sevdesk before month-end so statements go to the right addresses.
The bad version:
- Open sevdesk, search for contact ID from row 1, open the record, click Edit, update the email, update the phone, save. Search for the next ID.
- The sevdesk contact search is by name, not ID — so for each row you have to look up the contact ID in a secondary tab, navigate to the right record, and then edit it.
- By row 30, you wonder if there's a batch import option. There isn't. By row 80, you've been doing this for three hours and you still have 120 records to go.
The corrections have already been made. The QA has already happened. Getting the verified data from the sheet into sevdesk should not take the rest of the day.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside Google Sheets that reads your correction sheet and pushes updates to sevdesk contact records in one pass.
For each row in my Updated Contacts sheet, update the sevdesk contact matching the ID in column A — set email to column C and phone to column D, then mark column E as 'updated'
What You Get
- Each sevdesk contact updated with the corrected email and phone from the sheet.
- Column E marked "updated" for each successful row so you can confirm completion at a glance.
- Any row that fails (contact ID not found, invalid format) gets an error note in column E instead of a silent skip.
- 200 records updated in one run rather than 200 manual edit cycles.
What If the Data Is Not Quite Ready
The sheet has more fields to update — address lines, city, and postal code in addition to email and phone
For each row in my Contact Corrections sheet, update the sevdesk contact in column A — set email to column C, phone to column D, street address to column E, city to column F, and postal code to column G — write 'updated' in column H on success
Some emails in column C are blank — you only want to update the phone for those rows
For each row in my Updated Contacts sheet, update the sevdesk contact in column A — if column C is not empty, update the email; always update the phone to column D — write 'updated' in column E on success
The corrections span two tabs: Enterprise Clients and SMB Clients, with the same column structure
Update sevdesk contacts from both the Enterprise Clients tab and the SMB Clients tab — in both cases the contact ID is in column A, new email in column C, new phone in column D — write 'updated' in column E on each tab after each successful update
Full cleanup pipeline: validate, update, and audit
In my Contact Corrections sheet: first validate column C — flag any row with a malformed email (missing @ or domain) by writing INVALID in column E — then for all rows where column E is still blank, update the sevdesk contact in column A with email in column C and phone in column D, writing 'updated' in column E — write the total number of updates completed into cell A1
Validating the emails and performing the updates in one prompt means you end up with a fully annotated sheet — updated rows confirmed, invalid emails flagged — rather than running the update only to discover bad data on row 45.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet with your corrected contact records, then ask it to push every change into sevdesk. When the contacts are clean, you might want to set custom field values like industry or segment while you have the sheet open, or run a bulk import if you're also adding new contacts.