AI-Powered WiFi Diagnostic & Monitoring for Enterprise Networks

The user describes a severe, sudden, and inconsistent WiFi performance degradation in a large office building using Unifi equipment. Consultants suggest expensive hardware replacement without identifying the root cause, highlighting a significant pain point for IT managers. A SaaS solution could provide deep, AI-driven diagnostics beyond standard network controller capabilities. This would involve a cloud-based platform integrating with existing network hardware (starting with Unifi) to collect granular data, analyze it for anomalies (e.g., interference, channel saturation, faulty APs, client-specific issues), identify root causes, and offer actionable troubleshooting steps or predictive maintenance insights. This would save businesses significant costs by preventing unnecessary hardware upgrades and reducing IT downtime.