PulseIQ is a real-time enterprise intelligence agent designed to act as an AI Chief of Staff for product and executive teams. Instead of relying on fragmented dashboards or manual analysis, PulseIQ continuously monitors business activity across customers, partners, and revenue to automatically detect meaningful changes, explain why they happened, and generate executive-ready briefings. PulseIQ unifies live operational data into a metrics layer and a business knowledge graph, enabling true cross-domain reasoning. When key indicators like Client LTV decline, the system traverses this graph to identify upstream causes — such as shifts in partner quality or acquisition channels — and converts those signals into structured insights. The platform answers four critical questions in real time: what changed, why it changed, what risks are emerging, and what actions can be taken. These are surfaced through a live executive dashboard showing KPIs, detected root causes, and AI-generated Insights, Risks, and Opportunities. Unlike traditional BI tools or chat-over-data interfaces, PulseIQ operates autonomously. It proactively surfaces intelligence as it happens, allowing teams to move from reactive reporting to continuous decision intelligence. This enables leaders to focus on building and scaling while PulseIQ continuously tracks performance, flags emerging issues, and recommends corrective actions. For the hackathon, PulseIQ demonstrates this capability using synthetic real-time data, a knowledge graph for causal analysis, and an executive dashboard with automated briefings. The architecture is designed to integrate with enterprise APIs in production environments, making it applicable to use cases such as revenue health monitoring, partner quality analysis, churn risk detection, and platform-wide operational intelligence. In short, PulseIQ transforms raw business events into actionable executive insight — helping organizations move from dashboards to decisions.
7 Feb 2026
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