🔒 AI in business: illusion or neglect?

The “miracle” technology that leads to errors and losses. Where does the cause of unsuccessful AI deployments lie? And no, we’re not talking about the lack of structured data. At least not only about that…

Let’s start with an example. A company is deploying an AI assistant to handle email inquiries in the B2B department. The goal is sensible: to lighten the team’s load, speed up responses and reduce routine work. One day, one of its strategic clients submits a request to return a batch of goods. The AI analyzes the inquiry, checks it against company policy, and sends a polite refusal based on that policy.

However, the algorithm doesn’t know what every salesperson in the company knows: key partners have flexible, individually negotiated terms. So the decision was in line with company policy and at the same time completely wrong. The sales director only learned about the problem when the client threatened to terminate the contract.

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