Our approach
Most AI projects don’t stall because the model falls short. They stall because nobody measured the expectations and the integration was weak. So we start with the evaluation set, take the assistant live in a small but real workflow, and then expand.
We widen an agent’s authority step by step. First it suggests, then it acts with approval, and only then does it act on its own. Every step is logged.