The Scenario
You manage collections for a financial services company. A new batch of 5,000 debtor phone numbers just arrived from the data team, ready to go into the auto-dialer. Before that happens, compliance requires you to know which numbers are mobile vs. landline, which carrier they're on, and which are flagged as high-risk. Dialing a number on the Do Not Call registry — or an invalid line — carries a fine that nobody wants to explain at the next board meeting.
The data team gave you raw phone numbers. No carrier data. No line type. No risk flags.
The bad version:
- Run numbers through a carrier lookup website one by one — which is fine for 10 numbers and impossible for 5,000.
- Export to a bulk lookup service, wait for the file, import it back, and spend an hour reconciling the column order.
- Skip the enrichment step and document that you requested it, hoping compliance doesn't audit this batch.
The auto-dialer session starts in four hours.
The Easy Way: One Prompt in SheetXAI
SheetXAI reads your Google Sheet and calls Interzoid's phone validation API for every row — writing carrier, line type, and risk score directly into the sheet.
For each phone number in column A, call Interzoid to retrieve carrier name, line type (mobile/landline/VoIP), and risk score, then write those to columns B, C, and D.
What You Get
- Column B: carrier name per number.
- Column C: line type — mobile, landline, VoIP, or unknown.
- Column D: risk score from Interzoid.
- Rows where the risk score exceeds your compliance threshold flagged automatically for exclusion before the dialer session.
What If the Data Is Not Quite Ready
Phone numbers in column A are formatted inconsistently (some with dashes, some without)
Before calling Interzoid, normalize all phone numbers in column A to a consistent 10-digit format without dashes or parentheses, write normalized numbers to column B, then call Interzoid for carrier, line type, and risk score and write to columns C, D, and E.
You need E.164 format for the auto-dialer system
Enrich the phone numbers in column C using Interzoid's phone profile API — write the normalized E.164 format, carrier, and geographic region to columns D, E, and F.
Some rows have blank phone numbers from incomplete debtor records
Skip rows where column A is blank. For all other rows, call Interzoid for carrier, line type, and risk score. Flag blank rows as 'MISSING' in column B.
Full compliance pass in one shot
For each phone number in column A: normalize to 10-digit format and write to column B, call Interzoid for E.164 format, carrier, line type, and risk score, writing to columns C through F. Flag rows where column F (risk score) exceeds 70 as 'HIGH RISK' in column G. Then create a filtered view showing only rows not marked HIGH RISK for the auto-dialer export.
One prompt handles the normalization, the API calls, the flagging, and the export-ready view.
Try It
Get the 7-day free trial of SheetXAI and open your phone roster — ask SheetXAI to enrich column A with carrier, line type, and risk scores before the auto-dialer session. Then see the spoke on appending area code geography for territory assignment, or the full Interzoid integration overview.