Most enterprise AI projects stall because of a fragmented stack: agents, evaluation, human review, and observability all managed separately. That complexity slows teams down and introduces risk before anything reaches production.
This talk covers how leading organizations have moved to unified AI architectures that treat execution, evaluation, and human oversight as a single system, cutting development cycles and making governance hold in regulated environments. You'll leave with concrete examples and a clear picture of what it takes to ship AI that’s reliable in production.