The AI Vendor With the Best Demo Is Usually the Riskiest Choice
AI demos are designed to answer one question: "Can this work?" Production software has to answer a very different question: "Will this still work six months after launch?"

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AI demos are designed to answer one question: "Can this work?" Production software has to answer a very different question: "Will this still work six months after launch?"

Most budget discussions about Retrieval-Augmented Generation focus on LLMs. In reality, the model is usually one of the least expensive parts of a production RAG system.

Most people think receipt scanning is an OCR problem. In production, it's a trust problem. Reading text is relatively easy. Determining whether a receipt deserves a reward is where the real engineering begins.

Employees rarely wake up intending to violate company policy. They use unauthorized AI because it helps them finish work faster than the approved alternative. That's why Shadow AI spreads so quickly, and why banning it almost never works.
Every January, the hospitality industry publishes another list of trends: AI, IoT, voice assistants, smart rooms, robotics. Most of them are real. Most of them are also deployed in the wrong order. Hotels don't fall behind because they ignore trends. They fall behind because they automate problems they haven't solved yet.

The appeal of white-label AI is obvious. You launch quickly, avoid hiring AI engineers, and start generating recurring revenue almost immediately. The harder question is what happens when every other agency is selling the exact same AI under a different logo.
