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How to Design Agentic Systems Around the Implicit Rules that Govern Your Company

A high-net-worth client called her financial services firm to update her beneficiary designations—a routine task. The AI routing agent classified it correctly, operations processed it, and a communication agent confirmed completion with a standard template. Every part of the system worked as designed. But her dedicated advisor, who had managed her portfolio for two years, would have heard the signal beneath the task. In their last quarterly review, she had mentioned estate planning, asked casual questions about account portability, and mentioned in passing that a friend had consolidated accounts elsewhere. None of this was in any CRM field. These were the conversational signals an experienced advisor learns to read—signals that a beneficiary update three weeks later was not a routine form but the first move in a much larger decision.

Full opinion : As companies rush to deploy AI agents, they are discovering that much of their most important organizational intelligence lives outside formal systems and documented processes.