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AI PoC Methodology: Pitfall Avoidance Guide

The right approach to AI projects: validate at low cost, confirm results, then scale investment.

The right approach to AI projects: validate at low cost, confirm results, then scale investment.

The right approach to AI projects: validate at low cost, confirm results, then scale investment. This article draws on our hands-on experience serving more than 3,000 enterprise clients.

Three PoC principles: clear scenario boundaries, quantifiable outcome metrics, and a cycle kept within six weeks.

Choose scenarios by two dimensions: value and data completeness. If either is lacking, it is not suitable to go first.

Avoid turning a PoC into free research. In a paid pilot, both sides take it seriously, and the success rate is actually higher.

There is no absolute right or wrong in technology selection; what matches your business stage is best.