In a board meeting, your new AI sales assistant confidently presents a detailed market report – and cites a data source that doesn’t exist. This scenario isn’t science fiction; it’s the emerging risk of AI “hallucinations” in the enterprise. AI hallucination refers to when a model produces a plausible-sounding but false or fabricated answer. For companies adopting generative AI, these mistakes aren’t just embarrassing, they can lead to real financial and legal repercussions. In one case, Air Canada’s customer service chatbot invented a refund policy , leading a tribunal to order the airline to compensate a passenger for misinformation. In

Over the past two years, large language models (LLMs) like ChatGPT have burst onto the scene and rapidly entered mainstream use. It took ChatGPT just months to reach over 100 million users, making it one of the fastest-adopted technologies ever. And it’s not slowing down; as of late 2024, ChatGPT’s website was seeing over 3.7 billion visits per month , and in a single day in May 2025 it handled a record 80 million visits. This explosive growth in conversational AI matters because it is already beginning to reshape how people search for information and products. In a world where