Building Scalable Agentic Assistants: A Graph-Based Approach

About a year ago, we were drawn into what appeared to be a straightforward problem: building an interface assistant that could answer questions about payments, disputes, refunds, transactions, and a few other sub-domains and provide insights. The reality turned out far more complex. Many teams already had multiple apis, data sources, internal tools, and domain experts collaborating. What we didn't have was a way to wire all this together into something that felt coherent, reliable, and scalable. Early experiments with single-agent chatbots worked for demos, but they collapsed under real organizational complexity. We needed to stop thinking in terms of agentic systems and start treating it as a coordinated system of agents, each with a narrow responsibility.