WifiHotelAudit AI ingests multi-vendor RF surveys, controller configs, and captive-portal telemetry. Powered by Claude models, it autonomously generates GM-ready SLA summaries and engineer-grade remediation scripts.
Automated ingestion for enterprise controllers
4 Critical APs
Co-channel interference > 42% on 2.4GHz
480 ms Avg
Sticky clients in west conference wing
99.2% Uptime
Radius / DNS resolution normal
# UniFi / Aruba Auto-Mitigation: Drop 2.4GHz Tx Power to avoid bleed across floors set wlan radio-2g power 12dbm --ap "Floor-3-Corridor-East" set wlan 80211r fast-transition enabled --ssid "GrandPlaza_Guest" set wlan min-rssi -75 --ap "Conf-Hall-AP01" --disconnect-sticky-clients
Eliminate dozens of hours spent compiling manual spreadsheets and RF surveys.
Drop JSON controller configs, syslog telemetry, and Ekahau/Hamina CSV heatmaps directly into the audit pipeline.
Synthesizes findings into two tailored artifacts: an executive SLA briefing for hotel directors, and a technical checklist with CLI commands for field engineers.
Converts technical radio metrics (SNR, retry rate, channel utilization) into measurable guest impact ratings to prevent negative TripAdvisor reviews.
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