Source: Sneakerheadvc
Most organizations are using AI to accelerate processes that were shaped by human cognitive and temporal constraints—batch reviews, sequential approvals, manual categorization—rather than redesigning them for machine capability. This means companies are locking in decades-old inefficiencies at scale, automating the workarounds instead of the underlying problem. Organizations that build new workflows from scratch for algorithmic decision-making will outpace those who simply replace the humans in existing bottlenecks.