Organizations today hold vast amounts of data, yet meaningful insights remain locked behind technical tools, BI bottlenecks, and dashboard-heavy processes. Business teams often wait days or weeks for analysts to extract data, visualize trends, or investigate emerging issues. InsightX Agent removes this friction by enabling any user to ask a business question in natural language and instantly receive validated data, visualizations, narrative insights, and root-cause explanations—without needing SQL, dashboards, or technical expertise. The solution proposes a vendor-agnostic, modular AI agent architecture that translates user intent into optimized analytical steps, retrieves relevant data from distributed sources, and applies statistical or machine-learning models in real time. A Root-Cause Intelligence module correlates signals across commercial, network, and operational datasets to explain why anomalies occur—not just what changed. InsightX Agent integrates with semantic layers, governed catalogues, TMF Open APIs, and enterprise access controls. It is built with trusted AI principles, including agent identity, auditable reasoning, and safe autonomy. The result is a step-change in how CSPs operate: dramatically faster decision-making, reduced dependency on BI teams, and a future where insights are accessible at the speed of thought.