Part 2: Why MultiAgentic Systems Still Struggle to Turn Data into Actionable Insights

This blog post discusses the challenges of turning data into actionable insights in multiagentic systems. It highlights the importance of context continuity and decision traces in creating a coherent, decision-capable system. The post demonstrates how treating decision-making context as a first-class state and allowing decision traces to flow across agents can transform siloed agent outputs into shared reasoning states and context graphs in motion. It emphasizes the need to capture decision traces that make data actionable and shift from stateless pipelines to context-continuous systems.