Xect AI is a proactive service-remediation agent. It compares measured against provisioned speed for every hub, investigates lines that fall below standard, and applies the approved fix for issues that remediate remotely, such as a re-provision or gateway reset. It verifies the result, and routes issues that need a physical port or PON move to a technician with the diagnostic evidence attached.
Provisioning data, field tests and customer self-tests pile up in reports while the customer on 456 Mbps of a 662 plan calls, waits, and gets a truck. Xect AI scores every hub by quality, runs the diagnostic the moment a line falls below standard, applies the approved fix for issues that remediate remotely, and proves the result. Issues that need a physical port or PON move route to a technician with the diagnostic already attached.
Every speed test, provisioning, field or self-help, lands with the address, the ONT and the hub attached.
Measured versus provisioned becomes variance and a quality score per line and per hub; the legend bands set the standard. A score above 100% means the verified speed exceeds the provisioned plan.
Below standard triggers the diagnostic, then the known fix. A profile re-provision or gateway reset applies automatically, pausing for approval when it crosses policy; a port or PON move opens a technician work order with the diagnostic attached.
A re-test confirms the fix; failures escalate to the NOC or a truck with the full evidence attached.
Each agent owns one step in the measure-to-verified-fix path above and hands off cleanly to the next.
Knows which hub is quietly slow
Turns every measured-versus-provisioned reading into a variance and a quality score, then bands each hub against the same standard so nothing slips through on a monthly average.
Runs the checks a Tier-2 engineer would
The moment a line falls below standard, it checks the light level, the port state and the profile match, then runs a self-help test on demand to classify the root cause before anyone opens a ticket.
Applies the fix it has already learned
Runs the playbook that matches the diagnosed cause with zero LLM calls on repeat runs, and pauses for approval the moment an action crosses policy.
Proves it, or escalates with proof
Re-tests the line after the fix and compares the result against the original reading, then closes with the evidence attached or escalates with the whole trail intact.
Excellent, good, average and poor hubs on one map, from all speed sources.
Profile and port-configuration issues close from the platform; a physical port or PON move still opens a technician work order.
Each automated fix runs a before-and-after test.
Once the playbook is verified, it runs deterministically.
The speed test used to be a report. Now it's the trigger.
When a line reads 456 of 662 Mbps, the agent checks light level and profile, re-provisions, and re-tests.
See the industry pageWhen a node's modems drift below tier, the agent checks SNR and profile before a plant ticket.
Talk to us about cable & HFCWhen a sector's throughput drops with signal, the agent re-aligns the CPE profile or flags interference.
Talk to us about fixed wirelessWhen a cell's home-internet units underperform, the agent distinguishes congestion from CPE placement.
Talk to us about mobile & 5G FWAWhen a circuit misses its committed rate, the agent verifies, adjusts, and files the SLA evidence.
Talk to us about enterprise WANOwns the support queue, and needs routine below-standard lines to test and fix themselves so only genuine hardware failures reach a technician.
Owns the physical network's health, and needs quality visible by hub in real time instead of waiting for a customer to call.
Owns the escalation queue, and needs every ticket that reaches the NOC to already carry the root cause and the tests that ruled out a software fix.
Owns the contact center's numbers, and needs the slow-line complaint to close before the rep answers, not during the call.
Book a 30-minute demo and review a service-remediation scenario: a below-standard line tested, fixed and re-tested against your network data.