By leveraging LLM-powered insights, Network Copilot™ detects anomalies, patterns, and potential failures in real time. IT teams can simply ask questions to identify root causes, perform impact analysis, and receive AI-suggested remediations without digging through multiple dashboards.
Yes. Network Copilot™ can generate Infrastructure as Code (IaC) templates based on simple user inputs. This helps teams standardize network configurations, eliminating manual errors and saving time in deploying and maintaining network automation workflows.
Traditional solutions often lock users into a specific vendor ecosystem. Network Copilot™ works across diverse network environments, supporting multi-vendor hardware and software without proprietary restrictions. This ensures long-term flexibility and prevents vendor lock-in.
Unlike traditional AIOps platforms that are often proprietary and rigid, Network Copilot™ leverages open-source LLMs, allowing continuous innovation without vendor constraints. It integrates seamlessly with both public and private cloud environments, ensuring flexibility, cost-effectiveness, and rapid adaptability.
Aviz offers dedicated prompt engineering support to: Customize AI-generated responses based on your infrastructure Optimize AI models for faster and more accurate insights Ensure seamless integration with existing NetOps workflows
Yes! Aviz’s Network Copilot allows you to: Integrate vendor-agnostic data sources for deeper network insights Fine-tune AI models to analyze ROI, performance, and optimization metrics Leverage LLM-powered automation for personalized network management
Network Copilot ™ delivers on-demand business intelligence analytics to: Empower network engineers, operators, and executives with data-driven insights Analyze network ROI, vendor performance, and cost optimization Provide industry benchmarks for better strategic decision-making
Network Copilot ™ enhances network operations by: Providing compliance insights to align networks with security and business goals Detecting network anomalies, traffic spikes, and performance deviations Automating compliance reporting for better governance and risk management
