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 Excel workbook. 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 workbook — the whole 400-row batch in one operation.
Run Data247 identity trust scoring on all 400 new signups in my Excel sheet and add a TrustScore column and a RiskLevel column (Low/Medium/High) based on the score
What You Get
- TrustScore column: numeric trust score from Data247 for each signup (higher is safer)
- RiskLevel column: Low, Medium, or High classification derived from the score
- Rows where the lookup fails due to missing data get a blank in TrustScore and a note in RiskLevel so you know they need manual handling
- The workbook 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. Write trust score into TrustScore and risk level into RiskLevel.
You want to sort the workbook by risk before handing it off
Run Data247 trust scoring for all 400 rows using columns A through D. Write trust score in TrustScore and risk tier in RiskLevel. Then sort the workbook by TrustScore ascending so the lowest-scoring rows appear first.
You want to separate high-risk rows into their own worksheet
Run Data247 trust scoring for all 400 signups. Write TrustScore and RiskLevel. Then copy all High rows to a new worksheet called "Priority Review."
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 TrustScore in column E and RiskLevel in column F. Sort ascending by TrustScore. Copy all High Risk rows to a new worksheet 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 Excel workbook 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.