From the course: Agentic AI Human-Agent Collaboration Design Patterns
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Dynamic task allocation
From the course: Agentic AI Human-Agent Collaboration Design Patterns
Dynamic task allocation
Despite our efforts to define clear roles for humans and agents, static workflows are often insufficient when we need our agentic AI solution to be able to adapt to the unpredictability of real-life situations. In a multi-agent system, especially one that also involves human workers, if we have a static workflow, then individual tasks or actions are assigned based on hard-coded rules like all data entry goes to this bot and all negotiations go to this human. This can lead to inefficient bottlenecks where agents and or humans get overwhelmed or are sometimes given tasks that are not suitable for them. Here we have an example of an AI agent acting as part of a support chat bot. The agent is able to handle simple requests, but when a customer becomes frustrated, its responses only make things worse. Dynamic task allocation is a sophisticated human-in-the-loop design pattern that aims to help us overcome these inefficiencies by using a flexible dynamic workflow. We establish a a solution…
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