ScopeFlow

AI document forensics & fraud intelligence

Spot the fake before it becomes a case.

ScopeFlow's AI agents check every passport, bank statement, contract and photo at intake. They flag edits, AI-generated images and fraud networks, with evidence an officer can act on.

  • On-premise or air-gapped
  • Human decides, always
  • GDPR & EU AI Act by design

Built for

  • Embassies & consulates
  • Visa application centres
  • Migration authorities
  • Banks & fintech
  • Insurers
  • HR & screening
  • Procurement teams

Why now

Generative AI made forgery cheap

A convincing bank statement, ID photo or employment contract used to take a skilled forger. Now it takes a prompt. Template checks and tired eyes at the end of a shift were not built for that.

“Forged documents, visa abuse, and the use of less-controlled airports are on the rise.”

1 in 5

biometric fraud attempts now involve a deepfake

Source: Entrust 2026 Identity Fraud Report (data Sep 2024 to Sep 2025)

1 / 5 min

a deepfake attempt was recorded every five minutes in 2024

Source: Entrust 2025 Identity Fraud Report

+40%

year-over-year rise in injection attacks on identity checks

Source: Entrust 2026 Identity Fraud Report

What ScopeFlow catches

Six ways fraud gets into a file

Each one needs a different kind of check. ScopeFlow runs all of them on every document, and tells you which one fired.

Edited documents

Changed amounts, swapped names and dates, pasted stamps and signatures, found through compression, noise and font inconsistencies.

AI-generated images & documents

Diffusion-model photos, generated ID portraits and fully synthetic statements, using generator fingerprints and content-provenance (C2PA) checks.

Template forgeries

Documents built from a known forgery template or a real issuer's layout with the wrong fonts, spacing or security features.

Fraud networks

The same contract, sponsor, IBAN, phone, address or photo appearing across cases that should be unrelated.

Inconsistent stories

Payslip salary that never arrives on the bank statement, employment that starts after the visa appointment, dates that cannot all be true.

Deepfakes & synthetic identities

Face swaps and injected video in remote identity checks, and identities stitched together from real and fake data.

The evidence report

Every flag explains itself

Officers and analysts don't need another opaque score. They need to see what is wrong, where, and why it matters.

  • The exact region on the page, not just a score
  • Which signal fired and how strongly
  • Links to other cases that share a template, sponsor or address
  • A suggested next step an officer can act on
Explore the platform

scopeflow / cases / VA-2026-0412

on-prem

bank_statement_p2.pdf

2 of 6 docs

Triage

Check original · interview

82

risk / 100

  • Re-compressed region

    Closing balance, p.2: error level 4.1x page median

    High
  • Font mismatch

    Amount set in a different typeface from the issuer template

    High
  • Shared employer template

    Contract layout matches 3 other open cases

    Review
  • Salary vs. deposits

    Payslip net 3,850 / no matching credit in 3 months

    Review
  • MRZ checksums

    All 4 check digits valid

    Clear
  • Photo provenance

    No generator fingerprint found

    Clear

Linked cases

3 shared signals

Illustrative report on synthetic specimen data. The decision stays with the officer.

How it works

From upload to a decision you can defend

ScopeFlow slots into the intake you already have. Applicants notice nothing; officers get a ranked queue with the evidence attached.

  1. 01

    Intake

    Documents arrive from your portal, scanner, inbox or API. Nothing changes for the applicant.

  2. 02

    Agents analyse

    Sentinel agents run forensic, AI-generation and consistency checks on every page in parallel.

  3. 03

    Link across cases

    Entities and fingerprints are matched against the whole caseload to surface shared templates and networks.

  4. 04

    Officer decides

    A ranked queue with an evidence report per file. Recommended action is 'check original / interview', never auto-refusal.

  5. 05

    Learn

    Confirmed outcomes flow back, so the checks keep pace as fraud networks adapt.

Why ScopeFlow

Built for the people who have to sign the decision

Fraud tools that send applicant data to a foreign cloud, or hand officers an unexplained score, do not survive a security review. ScopeFlow is designed to.

Runs inside your walls

Deploy on your own servers or a fully air-gapped network. Applicant data never leaves the building, and there is no third-country cloud in the loop.

Evidence, not a black box

Every flag shows the region, the signal and the reason. Officers can defend a decision because they can see why the file was flagged.

Sees the network, not just the file

Single-document forensics misses organised fraud. Cross-case linking finds the shared template, sponsor or address behind dozens of applications.

People stay in charge

ScopeFlow triages and explains; humans decide. Built around the human-oversight, logging and documentation duties for high-risk AI in the EU AI Act.

Tamper-evident audit trail

Every check, view and override is logged in a hash-chained audit log, which protects against outside fraud and insider abuse alike.

Officer time back

Clean files move faster. The first measurable win is minutes saved per application; fraud caught is the second.

Live demo

Run a forensic check in your browser

Drop in an image or PDF and see error-level analysis, metadata and AI-generator checks. Everything runs on your device; nothing is uploaded.

Try the live check

Questions

What buyers ask first

Prove it on your own cases in 30 days

Pick one document type and one team. We deploy inside your network, test on files you already know are fraudulent, and hand you a written report.