AI has changed everything. It's helping businesses streamline operations, personalize customer experiences, and unlock new efficiencies. But as with all revolutions, there’s a dark side—and in this case, it's synthetic fraud.

The ability to generate forged documents like receipts with alarming ease has exposed a critical weakness in traditional fraud detection systems. In 2025, we’re facing a new breed of digital deception that blends automation, AI, and psychological manipulation into convincing scams. The question is: how do we respond?

Let’s explore how organizations are fighting back with a blend of innovation, regulation, and human intelligence.

In Part 1 of this series, we explored what AI is and how it learns. Now, let’s shift gears. Whether you're a curious professional, a business owner looking to implement AI, or a future-focused dental consultant like myself, understanding what it takes to build and maintain AI systems is crucial. 

In Part 2, we’re diving into the most in-demand technical and non-technical skills AI professionals need—and why you might want to add some of them to your own toolkit.