The Scenario
You are a customer success manager. It is 7:15 AM on a Thursday and the product team just issued a recall notice for a defective batch. You have a Google Sheet with 200 rows — every row is an affected customer's email and a pre-written issue description. The support shift starts at 8 AM.
The bad version of this morning:
- You open Freshdesk and manually create the first ticket
- You realize you have 199 more to go
- You copy-paste each email and description one at a time
- You lose track of which rows you have done
- You forget to set High priority on 40 of them
- The shift starts, agents are picking up tickets with no IDs logged, and nobody knows which customers have been touched.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads your data and calls the Freshdesk API for you — no copy-pasting, no one row at a time.
Open the SheetXAI sidebar and type:
Create a Freshdesk ticket for every row in this sheet using the email in column A as the requester and the text in column B as the description. Set all tickets to priority High. Write the returned ticket ID back into column C for each row.
SheetXAI works through the sheet, creates each ticket, and writes every returned ticket ID back in place. By 7:30 AM you have 200 tickets open, all flagged High, all with IDs in column C.
What You Get
A fully populated Google Sheet with:
- 200 Freshdesk tickets created, each with the correct requester email and description
- Priority set to High on every ticket
- Returned ticket ID written into column C for every row — so agents can search by ID and support ops can cross-reference later
The ID write-back is the part people miss. Without it, you have 200 tickets floating in Freshdesk with no way to connect them back to your sheet. With it, every row is traceable.
Want only the rows where description length is over 50 words prioritized as Urgent instead of High? Ask SheetXAI to read column B length and set priority conditionally before creating.
What If the Data Is Not Quite Ready
Most recall-response sheets come from multiple sources and are not clean. SheetXAI handles the cleanup and the ticket creation in the same prompt.
When some requester emails are malformed or missing
You got the export from three different systems and a few dozen rows have blank emails or obvious typos.
Check column A for blank or malformed email addresses. Flag those rows by writing "SKIP – bad email" into column C. For all valid rows, create a Freshdesk ticket with High priority using the email in column A and text in column B, then write the returned ticket ID into column C.
When descriptions are too short to be useful
Some rows just say "product issue" — not useful as a ticket description.
For rows where column B has fewer than 10 words, prepend "Recall notice: " and append the value in column D (product batch code) to the description before creating the Freshdesk ticket. Then create tickets for all rows and write the ticket ID into column E.
When you want to group tickets by region before creating
Your sheet has a column C with region codes and you want each batch of tickets to use a different Freshdesk group assignment.
Read column C for region code. Map "NA" to group ID 1001, "EU" to group ID 1002, and "APAC" to group ID 1003. Create a Freshdesk ticket for each row with the matching group assignment and High priority, using column A for requester email and column B for description. Write the ticket ID into column D.
When the sheet is raw and needs cleanup plus creation in one shot
The export has duplicates, missing emails, and mixed-case descriptions — and you still need every valid row to become a ticket before the shift.
Deduplicate this sheet on column A (keep first occurrence). Skip rows where column A is blank. Capitalize the first letter of each description in column B. Then create a Freshdesk ticket for each remaining row with High priority, requester email from column A, description from column B. Write "created: [ticket ID]" or "skipped: [reason]" into column C for every row.
The pattern: instead of cleaning the sheet first and then running the bulk create separately, you ask for both in one prompt. SheetXAI applies conditional logic inline, which is what makes the messy-data case faster than the clean-data case used to be.
Try It
Get the 7-day free trial of SheetXAI and open any sheet with customer data, then ask it to bulk-create Freshdesk tickets from the rows. The Freshdesk integration is included in every SheetXAI plan. See also how to bulk-update ticket fields from a sheet or the Freshdesk in Google Sheets overview.