The Scenario
Your company sent three people to a business development conference last week. By Friday afternoon all three have handed off their contact sheets — a combined Google Sheet with 80 rows of names, companies, and email addresses collected over two days of workshops and hallway conversations.
You're the one who has to get them into Parma so the follow-up process can actually start.
The bad version:
- Open Parma, click New Relationship, type in a name, type in the company, type in the email, save. Repeat for row two.
- Fifty contacts in, you've fat-fingered three company names and skipped the email field on two rows because your eyes are crossing.
- The team started sending follow-up emails an hour ago. You're still on contact 60.
The follow-up window on conference connections is about 72 hours before context fades. Spending half of that window doing data entry isn't analysis — it's overhead that shouldn't exist.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the data and talks to Parma directly, so you don't have to touch the Parma UI for each row.
Create a Parma relationship for every row in this sheet using the FullName, Company, and Email columns — add all 80 contacts at once
What You Get
- 80 new relationship records created in Parma, each with the correct name, company, and email field populated.
- Any rows where Email is blank or malformed are flagged back in the sheet with a note in a new Status column rather than silently skipped.
- The import runs as a batch — one operation, one confirmation, not 80 separate create calls.
- You're done in under a minute and the team can start logging calls against real Parma relationships.
What If the Data Is Not Quite Ready
Names are in a single column formatted as "Last, First"
Create Parma relationships from every row in this sheet, but the FullName column is formatted as "Last, First" — reverse each name to "First Last" before using it as the relationship name, then use the Company and Email columns as-is
Email addresses are missing for 12 rows
Import all contacts from this sheet into Parma using FullName, Company, and Email — for any row where Email is blank, still create the relationship but add a note to the record saying "email missing — follow up" and mark that row in column D with "Needs Email"
Some rows are duplicates from two reps collecting the same person
Before importing, flag any rows in this sheet where the Email column value appears more than once — mark duplicates in column E, then create Parma relationships only for the de-duplicated set using FullName, Company, and Email
Clean names, flag missing company, import everyone, then summarize by company
For every row in this sheet: if Company is blank, fill it with "Unknown" and flag the row in column F. Then create a Parma relationship for every row using FullName, Company, and Email. After the import, write a summary in cell H1 showing how many contacts were imported per company.
The underlying pattern is the same in each case: ask for the cleanup and the import in one instruction rather than fixing the sheet first and then running a separate import.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet with your conference contacts, then ask it to push all of them into Parma at once. You can also see how SheetXAI handles the export side in the related article on pulling Parma relationships back into a sheet.