SentinelIQ Autonomous Enterprise Intelligence

The Autonomous Intelligence Layer for the Real-Time Enterprise Enterprise data is scattered across silos — client metrics in CRM, financials in ERP, partner data in spreadsheets, compliance logs in separate systems. By the time teams connect the dots, the insight is stale and the window to act has closed. SentinelIQ solves this with two autonomous AI agents. The Sentinel Scanner generates its own deep audit missions across six domains — risk, security, compliance , operations and transactions — executing queries, scoring findings with dynamic risk assessment, and automatically deep-diving into critical detections. It doesn't wait to be asked. It hunts. The Natural Language Query Engine lets anyone — from the CEO to an analyst — interrogate the entire data layer in plain English. SentinelIQ's NL2SQL pipeline classifies intent, extracts entities with fuzzy matching, generates precise SQL, and returns results with AI-generated insights and actionable recommendations. Every query can spin up an on-demand dashboard for instant visual exploration. Cross-domain correlation is the core differentiator. SentinelIQ connects patterns that span multiple business functions — linking a revenue decline to a partner channel shift caused by competitive pricing pressure — the kind of insight that takes human analysts weeks to assemble. Everything streams in real-time via server-sent events. Critical findings push to Slack with auto-tagged domain owners. After every scan, an Executive Intelligence Brief delivers an overall risk score, active threat vectors, prioritised actions, and monitoring recommendations — a decision document ready for the C-suite. Built with FastAPI, LangGraph, Gemini LLM, React/TypeScript, and SQLite. Autonomous scanning. Real-time intelligence. Executive-ready output. One platform.