Anti-fraud software and AI: automate checks while retaining human control

Begin with one concrete decision

A useful tool has a specific question to answer: does a requested domain match an approved list, has a bank account changed, or does a file meet an expected technical structure?

Automation may compare documents, inspect permitted technical records or organise alerts. It should explain the limits of each check and allow a person to review anomalies.

Design for errors and exceptions

Generative AI can summarise or classify information but may invent details and overlook relevant context. Its output must not be treated as independent proof of fraud.

Data minimisation and access permissions should be established before connecting services or sending content to third-party systems.

Practical checks

• Specify intended inputs and outputs
• Test false positives and false negatives
• Add human approval at sensitive stages
• Record technical dependencies and data flows

Protect data throughout the workflow

Alain Stevens combines software development and digital research experience dating back to 1999. Vigifraude uses this perspective to favour maintainable, understandable solutions.

Some tools described as possible solutions are custom development concepts rather than products already available for immediate purchase. Scope and delivery must be verified.

Related resources

Build a suitable control

The purpose of automation is to make a good process easier to follow, not to replace sound judgment.

For a technical question, software project or training request, describe the need without sending credentials or unnecessary personal data.