AI Agents vs Business Rules: Which Should Make Decisions?

Summary

El vídeo compara las reglas de negocio y los agentes de IA como métodos para automatizar decisiones. Las reglas de negocio son deterministas, explícitas y adecuadas para situaciones bien definidas y estructuradas, ofreciendo consistencia y auditabilidad. Los agentes de IA, por otro lado, son probabilísticos, se basan en modelos de lenguaje grandes y son ideales para datos no estructurados o cuando se requiere juicio. La conclusión es que un enfoque híbrido, donde las reglas manejan los casos sencillos y los agentes intervienen en situaciones complejas, a menudo con supervisión humana, es la solución más eficaz para tomar mejores decisiones.

Topics covered

• Automatización de decisiones
• Naturaleza de las reglas de negocio

+8 more topics (full content when you follow the channel)

Transcript excerpt

Both business rules and AI agents are ways to automate a decision. So maybe that's to approve a refund or maybe to flag a transaction, but they go about this in different ways. So my question to you is this. Have AI agents superseded business rules or do they both have their place? And what's the difference between these things anyway? Well, let's start with business rules. And business rules run in a business rules engine. That has logic that a person wrote down explicitly, a person like me. So here's a business rule. We could say, if we have an order that is less than 30 days old, and we also have a condition here, which is the item. Was not marked as a final sale. So if and, and we've got a then, the then is we would actually approve the refund. That is a business rule and that rule has conditions and an action. Now an AI agent doesn't necessarily work from rules that are written down…