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When you evaluate AI at work, do you check what gets lost between the outputs?

Anna Belova

In my customer discovery interviews for OpenWay AI, I’ve often asked what people expect AI to do for their business. One question I keep coming back to: are we using AI to help knowledge move through a company, or adding more places for it to get lost? We’d expect AI to help. Yet every summary and handoff creates another point where someone, or something, decides which details survive. Imagine a buyer finally says yes after sales explains the rollout. AI records “implementation discussed.” Marketing uses another AI tool to draft the next campaign from an existing brief, which still assumes price is the main objection.. We already had to manage what gets lost between people. Now we also have to manage what gets lost when AI compresses a conversation, decides what matters, or works from an incomplete brief. When you evaluate AI at work, do you check what gets lost between the outputs?

Discussion

Trace Cohen

Kind of feels like a game of telephone that at every connection some context is lost. But if the outcome is achieved does it matter? Seems like more of a human in the loop error / workflow problem than tech here

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When you evaluate AI at work, do you check what gets lost between the outputs? - Discourse