Anticipate signals before they escalate.
AIOps with generative AI and machine learning to correlate telemetry, prioritize alerts and anticipate incidents. Measured outcomes against your baseline, with human controls and service-specific objectives.
"Every critical incident has a different cost. Measure it before automating."
Your current managed services deliver tickets, metrics and reports. But incidents keep happening — the team firefights, the business loses transactions and the CFO eyes the SLA report with suspicion. AIOps changes the equation: it predicts, prevents and automates remediation.
Reactive NOC: the ticket arrives late
The static threshold fires the alert once the service has already degraded. Users and the CEO notice first.
Noise and alert fatigue
Alert volume and quality are measured against your telemetry to prioritize actionable signals.
Predictive AIOps by BITS
ML models learn each service's normal behavior. They detect subtle deviations and predict the failure minutes ahead.
AI applied across the full IT operations lifecycle
From ingestion to remediation: every phase powered by machine learning models trained on your telemetry.
Multi-source ingestion
Metrics, logs, traces and events from Zabbix, Datadog, Prometheus, CloudWatch and proprietary agents — unified in an operational data lake.
Anomaly detection
LSTM models and Isolation Forest that learn each service's normal pattern and detect subtle deviations.
Failure prediction
Forecasting of CPU, memory, disk, connection and throughput saturation with a 10–60 minute horizon.
Automated remediation
Self-healing playbooks: pool restarts, replica scale-out, log rotation, automatic failover per approval matrix.
Event correlation
Grouping related alerts to propose a probable cause and measure noise reduction against the NOC baseline.
AI-driven SLA reporting
Executive reports generated with GenAI: natural-language narrative, investment recommendations and risk projection.
Visibility with a prediction horizon
Simulated data explains forecasts and anomalies; production models are validated with your telemetry.
CPU saturation forecast (LSTM model)
Simulated scenario · observed signal vs prediction
How much does operating reactively cost you today?
Move the sliders with your real numbers and discover your projected savings with AIOps.
Savings/TCO estimate · AIOps
Illustrative scenario with assumptions validated after the assessment
* Illustrative model using a 60% reduction assumption. This is neither ROI nor a savings commitment: baseline, investment and outcomes must be validated with environment data.
Watch the predictive engine in action
Run a simulated ingestion, detection, prediction and remediation scenario. Timings and figures only illustrate the product flow.
5 stages of your predictive NOC
From telemetry ingestion to AI-generated SLA reporting.
Data ingestion
Metrics, logs and events unified from your current tools.
ML for anomalies
Baseline model training per critical service.
Predictive alerts
Advance notifications with statistical confidence and probable cause.
Automated remediation
Auto-executed playbooks with optional NOC approval.
SLA reporting
Executive reports with GenAI narrative and investment recommendations.
AI acts before your user reports it.
Anomaly detection, forecasting and automatic remediation — orchestrated by our 24/7 NOC.
Partners and technologies we work with
Frequently asked questions about AIOps
Businesses That Trust BITS with Their Networks
Real migrations to modern networking and security architectures — with measurable results from the first phase.
Grupo Bafar
Managed LAN/WAN networking and perimeter security services.
- Documented Historical Availability: 99.13%
- Historical WAN Cost Improvements
Paseo Central – Chihuahua
Technology integration for a retail, hotel and corporate complex.
- Mission-Critical Digital IP CCTV
- Advanced Access Control
Grupo México
Security and automation for demanding mining environments.
- Comprehensive AI Monitoring
- Operating Cost Reduction
Define a measurable path from reactive to predictive operations
We deliver an AIOps maturity assessment, connect non-intrusive probes to your current telemetry and project how many incidents we would have prevented last quarter.
NDA available · Pilot, controls and change windows agreed before production