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AI applied to business

AI in business: only when it solves a real problem

AI isn't a goal in itself. It makes sense when it solves a specific problem, like classifying leads or analyzing documents.

It's easy to get swept up in adding artificial intelligence "because everyone else is doing it." The result is usually a flashy feature nobody ends up using. The right question isn't whether to use AI, but what specific business problem it could solve better than a simple rule or a manual process.

Some use cases where AI does add real value: automatically classifying leads by their likelihood of converting, analyzing lengthy documents to extract key information, or providing first-line support in repetitive sales conversations.

In all of these cases, AI is added as one more capability within a broader automation or client-acquisition system, not as the product itself. That's the difference between a company that uses AI to solve problems and a company that uses AI as a marketing strategy.

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