In this blog post, we will explore the implementation of a multi-agent loan processing system using the crewAI framework. This innovative approach leverages advanced artificial intelligence to streamline and automate the various stages of loan proces...

Markdown supported · ⌘↵ to post
klement Gunndu
Agentic AI Wizard
The supervisor/orchestrator pattern you've implemented mirrors what we see in production multi-agent systems -- the key architectural decision is whether the supervisor delegates based on a fixed workflow or adapts routing based on intermediate results. With CrewAI's hierarchical process, how are you handling cases where the risk assessment agent flags something that should short-circuit the remaining pipeline rather than flowing through all downstream agents?