#USA #Jacksonville #Finance #Medius #fraud

The Alarming Rise of 'Shallowfakes' in Finance

Recent research from Medius, a prominent player in accounts payable automation, has unveiled disturbing trends regarding workplace fraud within finance teams. As financial professionals continue to embrace automation and artificial intelligence (AI), alarming insights from their 2026 Financial Census report paint a picture of a culture increasingly permissive towards minor fraudulent activities, dubbed 'shallowfakes.'

Understanding 'Shallowfakes'

Medius surveyed 2,386 finance executives across the United States, United Kingdom, Sweden, and France, revealing that an overwhelming 87% of finance professionals admitted to overlooking small fraudulent expenses, reimbursements, or claims. This indicates a growing normalization of misconduct in environments where ethical behavior should be paramount. Furthermore, a striking 67% of respondents expressed that they might themselves engage in minor dishonest claims if such behavior became widespread among colleagues. Thus, the emergence of 'shallowfakes'—essentially low-value financial rule-bending—poses significant risks over time, cumulatively resulting in substantial losses for businesses.

The survey further illuminated the challenges faced by finance departments. Approximately 74% of finance professionals believe minor forms of fraud, leading to negligible financial losses, have become commonplace within their workplaces. A striking 64% mentioned they would feel justified in committing a small fraudulent act if they felt underappreciated or undermined at work, indicating deep-rooted issues associated with employee sentiment and well-being. More than half, 57%, confessed they would round up claims for expenses or mileage, priding themselves on evading detection.

Concerns Surrounding AI Fraud

While the issue of shallowfakes rises, so does the worry about more sophisticated fraud schemes powered by artificial intelligence. A significant 93% of finance executives voice concern about AI-generated fraud within the next year. The data indicates that US organizations suffer, on average, $168,000 in losses annually due to invoice fraud, with respondents recognizing a monthly average of one successful fraudulent attempt.

Chris Wilmot, CFO of Medius, emphasized the discrepancy: “While AI-related fraud grabs headlines, it’s the minor infractions that drain resources quietly.” He alerts finance departments to the reality that these 'micro frauds'—while appearing insignificant—are major liabilities if unchecked.

The Automation Paradox

Despite the introduction of AP automation across 85% of teams, a shocking 50% of invoices still require human oversight. As a result, finance professionals report 28% of invoices are paid late monthly. The consequences of these delays reach far beyond internal stress; 45% of suppliers have tightened payment terms due to late payments, while 43% have ceased relationships altogether.

Research Director Kevin Permenter from IDC reflects on this paradox: “Automation was meant to eliminate late payments, not make them standard. However, delayed payments have become a troublesome norm.” This friction showcases the failure of institutions to balance their technological investments with operational effectiveness.

Trust Issues with AI

The report also noted a paradoxical relationship with AI among finance teams. Although 38% currently deploy AI technologies within finance processes, many professionals remain skeptical. 90% asserted that human approval is essential for financial actions, irrespective of AI's accuracy. The accountability for errors arising from AI's decisions also raises questions, with respondents equally divided over responsibility among IT leaders, finance leaders, and the employees using AI recommendations.

Ahmed Fessi, Medius' Chief Transformation Officer, highlights the lack of clarity surrounding AI's role: “Organizations are adapting to AI’s influence, yet many lack a governance framework when missteps occur.”

Influence on Recruitment and Performance

Additionally, the aspect of AI's influence extends into recruitment and employee evaluations. 55% of finance leaders now deem AI fluency crucial in hiring, while an impressive 86% consider how employees engage with AI critical in performance assessments. Nonetheless, this shift isn’t without side effects; 75% of respondents report an increase in worker fatigue due to heightened demands brought forth by AI implementation.

In conclusion, the findings of Medius' 2026 Financial Census reveal an urgent call to action. Organizations must address the growing trend of 'shallowfakes,' reassess their traditional workplace cultures, and implement robust compliance and governance structures to counteract the lingering risks. As finance teams navigate a landscape where AI influences hiring and operations, priorities should focus on fostering accountability and clarity while ensuring ethical practices underpin financial decisions.