Why MultiAgentic Systems Still Struggle to Turn Data into Actionable Insights

This blog post explains the challenges faced by multiagentic systems in turning data into actionable insights, highlighting the issue of context fragmentation across tools and the need for global coherence. It discusses how current AI pipelines focus on reporting correctness rather than decision readiness, resulting in locally smart but globally incoherent systems. The post provides a practical example of an SDR analysis pipeline to illustrate these issues and proposes a solution by allowing reasoning and decision context to flow across agents.