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AI agent for diplomats

Visa Fraud Pattern Review Agent

A short list of related-file clusters with evidence for the officer to review

Risk managementAnalysisReportingGovernment
See how it worksGet access
Visa Fraud Pattern Review Agent: what goes in, what the agent does and what you get

What it does

Fraud in visa applications often shows up as the same sponsor, address, document or agent across many files, and officers see only one file at a time. This agent reviews applications and past refusals for repeated documents, sponsors, addresses, phone numbers and agents. It builds clusters of related files and checks each cluster against the known fraud indicators the section keeps. For each cluster it counts how many files, how many were refused and how consistent the details are, and it removes harmless links, such as a large employer who sponsors many people. It then lists cases that need a closer look with the evidence. If the evidence is weak, it widens the data and tests again. The consular officer decides on any action. Edge case: a university that sponsors hundreds of students is not treated as a fraud cluster.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Weekly review or officer flag 2 USES A TOOL Pull applications and refusal records for the period 3 DOES Find repeated sponsors, addresses, phones, documentsand agents 4 DOES Group the files into clusters 5 CHECKS THE RESULT Is each link meaningful and not a trusted sponsor orshared address? If not: remove the link and regroup the files. Back tostep 3. 6 USES A TOOL Check clusters against the known fraud indicators 7 CHECKS THE RESULT Is the evidence strong enough to report? If not: widen the date range and fields, then rebuildthe clusters. Back to step 2. 8 DOES Write a case summary for each reportable cluster 9 YOU APPROVE Consular officer decides on any action 10 RESULT Cluster report filed
Read the steps as a list
  1. Weekly review or officer flag
  2. Pull applications and refusal records for the period
  3. Find repeated sponsors, addresses, phones, documents and agents
  4. Group the files into clusters
  5. Is each link meaningful and not a trusted sponsor or shared address?If not: remove the link and regroup the files. Back to step 3.
  6. Check clusters against the known fraud indicators
  7. Is the evidence strong enough to report?If not: widen the date range and fields, then rebuild the clusters. Back to step 2.
  8. Write a case summary for each reportable cluster
  9. Consular officer decides on any actionThe agent waits here for your OK.
  10. Cluster report filed

How it decides

A cluster is reported when at least five files share the same detail and at least one fraud indicator applies. Trusted sponsors and common addresses are excluded.

  • Report a cluster of 5 or more files with a shared detail and a fraud indicator
  • Exclude trusted sponsors on the approved list
  • Treat a shared hotel or apartment block address as weak evidence
  • Never label an applicant as fraudulent in the report, only the pattern

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Minimum cluster size (default 5)
  • Fields to compare
  • Trusted sponsor list
  • Review frequency

What keeps you in control

It always asks you first

  • Any action based on a cluster

Hard limits

  • Never refuses or approves an application
  • Never shares application data outside the section

It stops when

  • Done: clusters are reported with evidence
  • Stop: case data is unavailable

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensReviewing 1,850 applications, the agent found 14 files sharing one travel agent's phone number, 9 refused. A second cluster of 40 files used the same address, but it was a student hostel, so the check failed and it removed the link. Widening to six months added 6 files to the first cluster. The officer opened a review of the agent's files.

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