While this may seem like a viral curiosity, it serves as a salutary warning. If synthetic media can convince hundreds of people to travel to one of the most recognizable landmarks in the world, it can easily deceive a marketing or finance professional reviewing a digital file.
We are entering an era where AI can manufacture believable scenes that never happened, repaint historical events, and most dangerously for global enterprises: fabricate evidence used to justify corporate spending.
The New Frontier of MDF Fraud
In the world of B2B marketing, Marketing Development Funds (MDF) rely heavily on trust and "Proof-of-Performance" (PoP). Traditionally, these checks were manual, designed to catch simple errors or double-billing. However, AI has fundamentally changed the risk profile.
If AI can create a fake royal event, it can also generate:
Fabricated Deliverables: Professional-looking white papers or brochures that were never actually written.
Staged Event Photos: Images of crowded booths or high-engagement seminars that never took place.
Synthetic 3rd Party Invoices: Legitimate-looking financial documents that have no real activity behind them.
Inside a global business, the consequences of this fraud are severe. Beyond the immediate loss of capital, false PoP claims create massive audit risks and the legal costs of recovering funds can often exceed the original claim.
Why Manual Checks Are No Longer Enough
Human reviewers are not built for a world where convincing content can be generated in seconds. Duplicate or fabricated images can easily slip through standard approval workflows because they "look" right to the naked eye. In a high-volume environment, the speed of AI-driven deception far outpaces the speed of manual verification.
Fighting AI with AI: The Q:chi Approach
At Q:chi, we believe the solution to AI-generated risk is AI-powered protection. We are developing specialized tools designed to shield marketing and finance teams from these emerging threats.
Our technology goes beyond surface-level reviews to:
Identify Manipulated Media: Detecting synthetic or altered PoP files that appear authentic to humans.
Flag Duplication: Spotting recycled assets used across multiple claims or regions.
Validate Evidence at Scale: Providing a layer of forensic accuracy that safeguards your approval workflow before payments are made.
Protecting Your Marketing Spend
MDF payments rely on evidence. As AI makes it easier to fabricate that evidence, it is the responsibility of the enterprise to adopt smarter detection methods. The goal is to identify fraud before it enters your financial ecosystem, ensuring your marketing spend is driving real growth, not funding synthetic fantasies.
Does your current approval process account for AI-generated fraud?
Published: 1st December 2025
Last Edited: 9th February 2026











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