Strengthen Trust in AI-Powered Recruitment.

It’s possible. Automated tools are typically optimized for speed and matching rather than for spotting deception, and fraudulent employers often write listings specifically to look ordinary. Indicators such as mismatched company details, newly registered domains, or requests to move conversations off-platform can be easy for an automated workflow to pass along.

An independent review examines a sample of real workflows and records where indicators were or weren’t surfaced. The goal is to give your team evidence to decide where additional checks or human review would help — not to certify your product.

We start by understanding your current onboarding steps — what information you collect, what is checked, and what happens when something doesn’t match. We then compare those steps against common techniques used to create fake or impersonated employer accounts.

Where you provide sample accounts, we can review them as test cases. The output identifies gaps and practical improvements, prioritized by risk and effort.

A written assessment report that describes the agreed scope, the method used, documented findings with supporting evidence, a risk rating for each finding, and actionable recommendations. We can also walk your team through the results.

The scope is agreed before work begins. We handle any data you share only for the engagement, and we keep candidate information private. The report reflects what we observed in the reviewed scope; it is not a certification or a guarantee that fraud will not occur.