Running a business requires, for example, a finance person who is supported by agents. “I want someone accountable for finance,” he said. "Someone who’s going to keep me out of regulatory trouble. Someone who’s going to create sure my taxes are done right, my billing is done right. Somebody has to own that and then utilize AI to do as much work as that can be done.”
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The bottom line is no matter how fast and automated a process can be, humans are still accountable at the end, Greenstein recounted out in a recent CAIO Connect podcast . “The product manager is responsible for the code that the agents are creating. The sales leaders responsible for all the research and input that went into that customer or that client. Autonomy is amazing, but it’s still up to us.”
This particular example perfectly highlights why Ai Business Process Re-Engineering is so captivating.
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What’s it like to build a business run entirely by teams of AI agents? Bret Greenstein , chief AI officer at West Monroe, explained how he launched an experimental business using fleets of AI agents and subagents running marketing, finance, sales, and product development. The agents were impressive in their performance and speed, but lacked a key ingredient – human oversight. The agents "just kept giving me to-dos," he related. "It tells me you require to approve things or we can’t process, can’t proceed.”