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 over 3,000 enterprise clients.
Three PoC principles: clear scenario boundaries, quantifiable outcome metrics, and a cycle within six weeks.
Choose scenarios by two dimensions: value and data completeness—if either is lacking, it is not suitable to go first.
Write acceptance criteria clearly in the PoC contract: what accuracy rate to reach, how many work hours to save—let data speak.
If you are evaluating a related project, feel free to talk with us—16 years and over 3,000 enterprise clients of experience may help you avoid some detours.