An AI agent that monitors, diagnoses, and fixes device issues 24/7 — before users notice, before IT hears about it.
MDM dashboards show what broke. You need someone to notice, investigate, act, and verify. Average enterprise patches in 55–94 days.
Wi-Fi failures. Provisioning drift. Device enrollment failures. Each one needs a Matthew Hall-level expert to solve. You can't hire enough of them.
Current MDM flags issues. Tools like Fleet add AI assistants. But no one actually fixes things automatically while you sleep.
Traditional tools give you data. FleetPulse gives you an employee.
Continuous telemetry from every enrolled device — online/offline status, hardware health, policy state, network conditions, session health. Everything, all the time.
Pattern matching across device histories to surface failures before they happen. SSD health, Wi-Fi degradation, provisioning anomalies. Flagged hours or days ahead.
Within defined guardrails, the agent acts autonomously. Corrects config drift, re-enrolls failed devices, restarts services, escalates what it can't resolve. Reports back when done.
Daily digests, anomaly alerts, and outcome summaries for IT leadership. Shows what the agent fixed, what it predicted, and what needs human attention.
Device deployment should scale infinitely, not linearly with headcount.
FleetPulse is built by operators who've lived this problem at the deepest levels — from 400 titles across 40 countries to the largest enterprise XR deployment on earth. We're done watching IT teams drown in the same preventable failures every week.