Brief

This article proposes automating recurring business reports using AI agents instead of traditional dashboards. The author argues that dashboards fail because they require users to perform the analysis themselves, whereas an AI agent can gather data from multiple sources, identify anomalies, and provide recommended actions. This approach is presented as a more efficient and valuable use case for AI agents, addressing a workflow problem rather than a visualization issue. AI

Dashboards, long considered essential for enterprise control, are failing legal and operations teams by creating an illusion of control rather than actual command. These tools primarily offer retrospective views of past events, leading to significant decision latency as insights are not immediately actionable. The increasing use of AI in workflows, while speeding up execution, is often undermined by this delay, with AI tools themselves introducing error rates that further complicate decision-making and governance. AI