Picture this scenario: your personalization AI decides that Sarah (Conner? 😅), a loyal customer, should receive a premium upgrade offer because her engagement scores have been climbing. Simultaneously, your churn prevention AI flags Sarah as a retention risk and recommends a discount promotion to keep her engaged. Meanwhile, your email frequency optimization AI determines Sarah is approaching communication fatigue and suggests suppressing all promotional messages for the next week.

Three different systems, three different conclusions, one very confused customer experience.

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This is the multi-agent conflict

I've been having a strange, recurring thought lately. It started after my conversation with Paul from Aampe, when he mentioned their AI agents handle somewhere between 15 and 200 billion decisions every week.

I love astronomy and the awe-inducing scale of the universe. Nevertheless, that number still amazed me, probably because I couldn't quite wrap my head around it. So I did what any reasonable person would do. I grabbed a calculator and started doing some deeply unnecessary math.

Let's say you're a marketing ops manager making about 50 meaningful decisions per day. Which segment gets the email blast, what