One thing we've noticed while building AI-powered workflows is that the hardest part is rarely the model itself. It's deciding where automation ends and human accountability begins.
AI is excellent at surfacing information, identifying anomalies, and reducing repetitive work. But when decisions affect customers, employees, finances, or operations, someone still needs to own the outcome.
The teams getting the most value from AI seem to treat it as an amplifier for human judgment rather than a replacement for it.