1,000 AI Agents, Four Human Decisions: Who's Accountable for the Outcome?

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What should AI agents handle overnight, and what should be waiting for a person in the morning? Elon Salfati describes a workflow in which agents carry out tasks overnight and bring the decisions that need his input into one inbox. In his example, a thousand agent runs leave him with four decisions to make.

In this episode I speak with Elon Salfati, CEO of Salfati Group, about how to divide work between AI agents and people. We look at how an overnight workflow can keep projects moving and what happens to accountability when software starts doing the work.

Questions we cover

What should an overnight AI workflow hand back to the team? · 9:46
Elon describes opening an inbox in the morning and seeing the decisions that need his input. A short list lets him make the calls that will unblock several projects.

How does accountability differ between buying software and hiring a service provider? · 19:48
With conventional software, the customer uses the tool and owns the outcome. Elon contrasts that with a service provider taking responsibility for delivering the work, and asks where AI services fit between those arrangements.

Who should be accountable when an AI agent takes action? · 26:56
Elon argues that a person should remain accountable. His approach is to give agents the routine work and bring the decisions back to the people responsible for the result.

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