The Scenario
You are a fraud prevention analyst at a fintech startup. It is Tuesday afternoon and the weekly new-account queue just landed in your inbox — an Excel workbook with 400 rows, each representing a signup from the past seven days. The CEO asked in the Monday standup why your manual review team is always behind. The answer is that nobody has ever built a way to prioritize which accounts actually need eyes on them.
Right now, every row looks the same. Name, email, phone, address. Nothing tells you which ones are worth investigating first.
The bad version:
- Log into Data247's portal, run a trust identity check for the first signup, copy the score and classification, paste them into your workbook.
- Do this for row 2. Row 3.
- After 30 minutes realize you have covered 12 rows out of 400, and the review team wants the prioritized list by 3 PM.
The review team cannot work from a 400-row flat list with no signal. And 3 PM is three hours away.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads the signup data, runs Data247's identity trust scoring on every row using the email, phone, first name, and last name columns, and writes a trust score and risk classification back into the sheet — the whole 400-row batch in one operation.
For each row in my sheet, use Data247 to score the signup's trust level using email in column A, phone in column B, first name in column C, and last name in column D — write the trust score into column E and flag any score below 50 in column F
What You Get
- Column E: numeric trust score from Data247 for each signup (higher is safer)
- Column F: flag for any score below 50 — the rows your review team should prioritize
- Rows where the lookup fails due to missing data get a blank in column E and a note in column F so you know they need manual handling
- The sheet stays in its original row order — no sorting, no result file reconciliation
What If the Data Is Not Quite Ready
Some rows are missing a phone number
Run Data247 identity trust scoring on all rows using email in column A, first name in column C, and last name in column D. Where column B has a phone, include it in the lookup. Write the trust score into column E regardless of whether a phone was present.
You want a three-tier risk classification instead of a binary flag
Run Data247 trust scoring using email in column A, phone in column B, first name in column C, and last name in column D. Write the trust score into column E. Write the risk tier in column F: 'Low Risk' if score is 75 or above, 'Medium Risk' if 50 to 74, 'High Risk' if below 50.
You want to sort the sheet by risk before handing it off
Run Data247 trust scoring for all 400 rows using columns A through D. Write trust score in column E and risk tier in column F. Then sort the sheet by column E ascending so the lowest-scoring rows appear first.
Score, classify, sort, and isolate high-risk rows in one shot
Run Data247 identity trust scoring for all 400 signups using email in column A, phone in column B, first name in column C, and last name in column D. Write the trust score in column E and the risk tier in column F. Sort ascending by column E. Copy all High Risk rows to a new sheet called "Priority Review."
The review team gets a prioritized queue in one prompt.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with new user signups you need to triage, then ask it to run Data247 identity trust scoring across every row and flag the high-risk accounts. See also the reverse phone lookup spoke to dig deeper into any flagged contact record.