Phenom tests an AI agent for detecting recruitment fraud with Alight Solutions
Since September 2025, Alight Solutions has been beta testing a tool from Phenom to detect fraudulent applicants; the agent detected a candidate applying twice under a different identity. The company sees the benefit primarily as time savings, rather than direct financial savings.
Alight Solutions, a provider of employee benefits administration, has been participating in a beta test of an agent for detecting recruitment fraud from HR technology provider Phenom since September 2025. The aim was to verify whether the agent could detect fraudulent applicants early in the recruitment process. During testing, the agent identified a candidate who had applied for the same position twice under a different name and email address. According to Julie Eagy, talent acquisition operations manager at Alight, this single detected case was enough to decide that the tool made sense for the company.
According to Alight, the tool has the potential to save costs, for example by preventing payment for an unnecessary background check on an applicant, but the company sees the main benefit as time savings rather than direct financial gains.
According to the source, the case illustrates a broader problem: according to analyst Arun Chandrasekaran at Gartner, a large proportion of businesses struggle to clearly quantify the business value of AI initiatives. In areas such as software engineering, customer service, or finance and HR administration, companies are managing to automate tasks and achieve productivity gains, but he says that linking these gains to concrete business metrics, such as revenue growth or cost reductions, remains an unfinished task across organizations. According to the source, smaller companies and SMB are better at achieving measurable financial returns from AI in this respect than larger enterprises.
The rest of the source article describes other examples of companies (outside the specified focus of this report) and does not elaborate further on this particular event. Details can be found in the source article.
Why it matters
The case shows a concrete practical use of an AI agent in recruitment (detecting a duplicate application) and also raises the question of how companies should measure the return on investment in AI in HR when the benefit takes the form of time savings rather than direct financial savings. This is relevant to anyone making the case to management for a budget for AI tools.
Two audiences, two different impacts
What this means
For individuals
For recruitment and HR professionals, it shows that the benefits of AI tools often emerge more as time savings than as clearly quantifiable financial savings, which needs to be considered when making the case for their deployment.
More practical updates →For a business
The case shows a concrete use of an AI agent to detect fraudulent applicants in recruitment, while also confirming the broader difficulty companies face in quantifying the financial benefits of AI investments in HR beyond time savings alone.
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Event sources
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