Catch IT faults
before they become outages
AI models watch network and system behaviour around the clock, spotting early signs of failure and directing action before the wider business feels it.
- →Network performance signals
- →Infrastructure health checks
- →Service behaviour baselines
- →Early fault detection
- →Alert triage and action
Spot the warning signs earlier
Traditional monitoring often raises an alarm after a fixed limit has been crossed. That can miss the slow changes that build towards an outage. Wanzo uses AI models to compare live network and IT behaviour with established operating patterns, so unusual combinations and gradual deterioration stand out.
The service watches connection quality, traffic behaviour, server resources and device health where monitoring data is available. When something doesn't look right, the warning is ranked by likely impact and reviewed by our technical team. We investigate the supporting signals, decide the next action and work within a four-hour response commitment. Monitoring runs 24/7 as part of an ongoing monthly service.
What's included
Network performance signals
We watch latency, packet loss, jitter, bandwidth use and connection availability. Changes are compared with normal operating patterns so slow deterioration is visible before a link fails.
- •Latency and packet loss
- •Bandwidth and availability
- •Jitter and route changes
Infrastructure health checks
Monitoring covers server load, memory use, storage capacity, device temperature and hardware status where those signals are available. It highlights pressure building inside the IT estate.
- •Server and endpoint load
- •Storage capacity trends
- •Device health status
Service behaviour baselines
AI models establish normal ranges for each monitored service and time period. They identify unusual behaviour without treating every brief spike as a critical incident.
- •Normal operating ranges
- •Time-based usage patterns
- •Recurring demand changes
Early fault detection
The service looks for combinations that often appear before failure, such as rising latency alongside resource pressure. Wanzo reviews the warning and assesses the likely impact.
- •Gradual performance decline
- •Related signal changes
- •Emerging capacity pressure
Alert triage and action
Alerts are grouped by urgency and likely business effect. Our team investigates the supporting signals, directs the next step and works within the four-hour response commitment.
- •Evidence attached to alerts
- •Priority based on impact
- •Human technical review
Ongoing monthly tuning
Predictive monitoring runs as an ongoing service. We review patterns and adjust thresholds as the estate changes. Coverage can expand within the agreed monthly plan.
- •Threshold reviews
- •Updated monitoring coverage
- •Monthly service management
Why businesses monitor predictively
Fewer avoidable disruptions
Earlier warnings give the team more time to investigate degrading links and stressed systems. That can reduce the chance of a developing fault turning into wider disruption.
One accountable team
Wanzo monitors the environment and can also manage the IT, cloud, cybersecurity and connectivity around it. You're dealing with one monthly service when an issue crosses technical boundaries.
Monitoring that keeps learning
The service keeps tracking operating patterns after launch. Thresholds and coverage can be updated as usage changes, so monitoring doesn't stay fixed while the business moves.
Questions people ask
What is AI network monitoring?
AI network monitoring uses models to compare live network and system signals with established operating patterns. It's designed to spot unusual combinations or gradual changes that fixed alerts may miss. Wanzo applies it to signals such as latency, packet loss, bandwidth use, device health and server resource pressure. When a warning appears, our team reviews the evidence, assesses the likely effect and directs the appropriate response.
How does AI predict network outages?
AI predicts possible outages by finding behaviour that has moved away from the normal range or is deteriorating over time. It might connect rising packet loss with a stressed device, rather than waiting for either signal to reach a fixed failure threshold. That doesn't guarantee every outage can be prevented. It gives the technical team earlier evidence to investigate and act on.
What network and IT signals can AI monitor?
It can monitor connection quality, traffic behaviour, server resources and device health where the necessary data is available. Typical signals include latency, packet loss, jitter, bandwidth use, CPU load, memory pressure, storage capacity, temperature and hardware status. Coverage depends on the network equipment, cloud services and endpoints in your estate. Wanzo agrees that scope at the start, then reviews it through the monthly service.
Will predictive monitoring work with existing IT systems?
Predictive monitoring can work with an existing IT estate when the relevant systems expose reliable monitoring data. We assess your current network, cloud services, servers and devices before defining coverage. Some older equipment or closed platforms won't provide enough detail for predictive analysis. If that applies, we'll identify the gap, explain the practical options and agree any infrastructure change separately before adding it to the monthly plan.
How much does AI network monitoring cost?
AI network monitoring is available through Wanzo's monthly retainers, with AI Starter beginning at £495 a month. AI + Managed IT begins at £1,250 a month and is the most popular plan. AI Transformation begins at £2,950 a month for broader operational change. Your final monthly price depends on the systems covered and the depth of monitoring required. You'll know the agreed scope and fee before the service begins.
See trouble sooner. Act before it spreads.
Tell us what runs your business, and we'll show where predictive monitoring can provide earlier warning.
No commitment. No sales pressure. Just honest advice.