AI most often fails in business not because the technology is weak, but because it was chosen before deciding which process actually needed fixing.
We work the other way around: start from one real business process, agree on the success measure, then build the smallest thing that proves it works. The experience of building Leadgo — an AI engine that filters leads from public posts — is the foundation of this practice.