Usually, it’s not because of the AI. Companies often jump straight into models and tools before answering the more important questions:

• What problem are we actually solving?
• Do we have the right data?
• How will the solution fit into existing workflows?
• What does success look like?
• Who will actually use it?

A great AI model that doesn’t solve a real business problem is still a failed project.

At Synteda, we believe AI projects should start with the problem and the expected value, not the technology.

Start small. Prove the value. Measure the result. Then scale.

What do you think is the biggest reason AI projects fail?

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