AI & Automation

AI-Driven Network Automation

Transform network operations with AIOps, intent-based networking, predictive analytics, and self-healing capabilities that reduce manual effort by 90% and cut mean time to resolution by 80%.

Data Center Switching

The Challenge

Networks Are Too Complex for Manual Operations

Enterprise networks generate millions of telemetry data points per second across thousands of devices. Human operators cannot process this volume of information fast enough to detect subtle degradations, predict failures, or optimize performance in real time. WatchDog AI and Automation brings machine intelligence to every stage of the network lifecycle, from intent-based provisioning and zero-touch deployment through AI-driven monitoring, predictive maintenance, and closed-loop self-healing.

80%

Faster MTTR

Mean time to resolution reduced through automated root cause analysis and self-healing remediation.

90%

Less Manual Work

Routine operations automated through intent-based policies and event-driven workflows.

70%

Fewer Outages

Predictive analytics identify and remediate potential failures before they cause service disruption.

5 min

Device Onboarding

Zero-touch provisioning brings new devices from unboxing to fully operational in minutes.

AIOps

AIOps Engine

Extend your network fabric across AWS, Azure, GCP, and private clouds with a consistent overlay that provides uniform addressing, segmentation, and policy management across all environment

Networking

Intent-Based Networking

Express your desired network outcomes in business language and let the system translate intent into validated configurations, deploy them safely, and continuously assure compliance with your stated objectives.

Self-Healing

Self-Healing Networks

Automated detection, diagnosis, and remediation of network issues without human intervention. Closed-loop automation identifies degraded links, reroutes traffic, and restores services in real time.

Forecast network

Predictive Analytics

Forecast network behavior, capacity needs, and potential failure points using time-series analysis and machine learning models trained on your specific network patterns and telemetry data.

Automation

End-to-End Network Automation

Automate every phase of the network lifecycle from initial deployment through continuous optimization and compliance assurance.

Zero-Touch Provisioning

Devices boot, connect to the network, download their configuration from WatchDog Central, and become fully operational without any manual intervention. Reduce deployment time from days to minutes.

Configuration Compliance

Continuously audit every device configuration against your golden templates. Detect drift within seconds, generate compliance reports, and automatically remediate deviations based on your approval policies.

Change Automation

Define change workflows with pre-checks, staged rollout, validation gates, and automatic rollback. Every change is tested in a digital twin before touching production infrastructure.

Network Digital Twin

A real-time virtual replica of your entire network that enables safe what-if analysis, change validation, and capacity planning without any risk to production environments.

Event-Driven Automation

Trigger automated workflows based on network events, threshold breaches, or external signals. Integrate with ITSM, ChatOps, and CI/CD pipelines for end-to-end operational automation.

Natural Language Interface

Query your network and execute operations using natural language. Ask questions about topology, performance, or compliance and receive instant, context-aware answers from the AI assistant.

Automated Troubleshooting

When a user reports slow application performance, the AIOps engine automatically correlates network telemetry, identifies the degraded link or congested path, reroutes traffic, and notifies the operations team with a detailed incident report.

User reports issue AI correlates telemetry Root cause identified Auto-remediation Team notified

Predictive Capacity Planning

Machine learning models analyze historical traffic patterns and growth trends to forecast when links will reach capacity thresholds, providing 90-day projections and automated upgrade recommendations.

Telemetry collection Pattern analysis Trend modeling Threshold forecasting Upgrade recommendation

Compliance Assurance

Intent-based policies define your desired security and compliance state. The system continuously audits device configurations, detects drift within seconds, and either auto-remediates or creates change tickets based on your approval workflow.

Define intent Continuous audit Drift detection Auto-remediation Compliance report

Products

WD-Central AIOps

AI-powered network operations platform with anomaly detection, root cause analysis, and predictive analytics.

ML anomaly detection
Root cause analysis
Predictive alerts

WD-Fabric Manager

Intent-based fabric orchestration with digital twin simulation and automated change management.

Digital twin
Change automation
Intent-based config

WD-CloudManager

Cloud-native management with zero-touch provisioning, configuration compliance, and fleet management.

Zero-touch provisioning
Config compliance
Fleet management

WD-Monitor Pro

Streaming telemetry collection and visualization with gNMI, sFlow, and IPFIX support.

gNMI / gRPC
sFlow & IPFIX
Real-time dashboards

Automate Your Network Operations

See how AI and automation can transform your network operations. Schedule a demo to experience intent-based networking and AIOps in action.

Schedule a Demo View All Solutions