GenAIOps
Harnessing agentic AI architecture
for autonomous network operations
GenAIOps
Harnessing agentic AI architecture
for autonomous network operations
GenAIOps
NIx PM’s GenAIOps solution delivers a revolutionary approach to network management by embedding agentic AI directly into your operations. Our autonomous agents work collaboratively to detect issues, analyse root causes and implement solutions — often before human operators even notice a problem.
NIx PM’s GenAIOps solution delivers a revolutionary approach to network management by embedding agentic AI directly into your operations. Our autonomous agents work collaboratively to detect issues, analyse root causes and implement solutions — often before human operators even notice a problem.
The agentic architecture
The agentic architecture
Our approach moves beyond traditional AIOps by creating a self-organising ecosystem of specialised agents that collectively bring superior intelligence to network operations. The agents don’t just analyse data – they understand context, learn from outcomes and continuously evolve their capabilities to deliver increasingly autonomous network management.
Direct mapping to your network domain
The GenAIOps solution architecture directly maps into telecom network domains, with specialised agents for each critical area:
- Radio assistant – It optimises wireless network performance and RAN operations
- Core network assistant – It ensures backbone stability and service delivery
- L3 Customer services agent – It handles complex technical support cases
- Virtual customer services agent – It provides frontline customer interaction
Outcome-driven intelligence
Natural Language-based
insights
The GenAIOps solution converts complex technical data into clear, understandable insights written in natural language
- Automated interpretation of network events
- Plain language explanations of technical issues
- Executive-friendly performance summaries
- Conversational interaction with technical systems
It bridges the gap between technical specialists and business stakeholders
Next
best action
The GenAIOps solution receives prioritised recommendations for immediate action based on comprehensive analysis
- Contextually aware guidance
- Prioritised remediation steps
- Impact-based action ranking
- Proactive intervention suggestions
All network co-pilots contribute to recommend the best next actions, ensuring holistic response strategies
Root cause
analysis
The GenAIOps solution automatically identifies the underlying sources of issues across multiple network domains
- Cross-domain correlation
- Temporal pattern recognition
- Dependency mapping
- Multi-factor analysis
The system connects symptoms to causes by analysing relationships between network elements
The GenAIOps solution converts complex technical data into clear, understandable insights written in natural language
- Automated interpretation of network events
- Plain language explanations of technical issues
- Executive-friendly performance summaries
- Conversational interaction with technical systems
It bridges the gap between technical specialists and business stakeholders
The GenAIOps solution receives prioritised recommendations for immediate action based on comprehensive analysis
- Contextually aware guidance
- Prioritised remediation steps
- Impact-based action ranking
- Proactive intervention suggestions
All network co-pilots contribute to recommend the best next actions, ensuring holistic response strategies
- Cross-domain correlation
- Temporal pattern recognition
- Dependency mapping
- Multi-factor analysis
The system connects symptoms to causes by analysing relationships between network elements
- Automated interpretation of network events
- Plain language explanations of technical issues
- Executive-friendly performance summaries
- Conversational interaction with technical systems
-
- Contextually aware guidance
- Prioritised remediation steps
- Impact-based action ranking
- Proactive intervention suggestions
-
- Cross-domain correlation
- Temporal pattern recognition
- Dependency mapping
- Multi-factor analysis
Core agentic ecosystem capabilities
Agent collaboration
The agents use collaborative reasoning to transform operational data into actionable insights, enabling continuous learning and autonomous decision-making
- Cross-domain knowledge sharing
- Context-aware problem solving
- Distributed decision making
- Self-improving capabilities
Pattern recognition
The system continuously monitors network patterns and operator actions, constantly improving its prediction capabilities
- Anomaly detection across multiple domains
- Historical pattern analysis
- Predictive issue identification
- Behavioural pattern recognition
Autonomous workflows
From issue detection to resolution, our agentic architecture handles entire operational workflows with minimal human intervention
- End-to-end incident management
- Self-triggered investigation processes
- Automated escalation and handoff
- Continuous workflow optimisation
Seamless integration
The NIx PM platform easily integrates with your existing tools and systems, enhancing their capabilities without replacement
- API-first architecture
- Legacy system compatibility
- Vendor-agnostic approach
- Modular implementation options
The data flow architecture
The data flow architecture
The GenAIOps solution follows a precise data flow where performance metrics
and customer experience insights are processed through multiple intelligent layers:
Step 1
Step 2
Step 3
Step 4
The Performance Management system generates PM KPIs that capture network health metrics
The Customer Experience Management produces CEM KPIs that reflect service quality from the user perspective
Both PM and CEM KPI streams feed into our network co-pilots, providing comprehensive operational context
The co-pilots process this information to deliver actionable outcomes and automated responses
co-pilots
outcomes
The Performance Management system generates PM KPIs that capture network health metrics
The Customer Experience Management produces CEM KPIs that reflect service quality from the user perspective
co-pilots
Both PM and CEM KPI streams feed into our network co-pilots, providing comprehensive operational context
outcomes
The co-pilots process this information to deliver actionable outcomes and automated responses
The power of KPI integration
The power of KPI integration
At the core of our GenAIOps architecture is the seamless integration of Performance Management KPIs and Customer Experience Management KPIs. This creates a comprehensive view that combines technical excellence with customer satisfaction.
PM KPIs
Technical performance indicators that monitor network health and operational efficiency
- Network utilisation metrics
- Latency and throughput measurements
- Signal quality indicators
- Infrastructure performance
PM KPIs feed directly from the Performance Management system to the network co-pilots
CEM KPIs
Customer-focused indicators that reflect
the actual experience of users on the network
- Service availability metrics
- Perceived quality measurements
- Customer satisfaction indicators
- Usage pattern analysis
CEM KPIs flow from the Customer Experience Management system to enrich the network co-pilots with user perspective
By bringing together PM and CEM KPIs, our GenAIOps creates a balanced operational view
that ensures technical decisions always align with customer impact:
- Prioritisation is based on customer impact, not just technical severity
- Early detection of issues affects experience before they become widespread
- Targeted optimisation focuses on improvements with the greatest customer benefit
- Resource allocation balances technical performance with experience enhancement
GenAIOps implementation journey
GenAIOps implementation journey
Deploying our agentic architecture is a strategic transformation that delivers increasing value at each stage of implementation.
Phase 1
Phase 2
Phase 3
Establish the core Performance Management system and begin capturing PM KPIs across your network domains.
- Deploy basic monitoring capabilities
- Integrate with existing data sources
- Establish KPI baseline measurements
- Train operations teams on new capabilities
Establish the core Performance Management system and begin capturing PM KPIs across your network domains.
- Deploy customer experience monitoring
- Establish experience baselines
- Create cross-domain correlation rules
- Begin experience-based prioritisation
Introduce the network co-pilots to begin autonomous monitoring and analysis of network operations.
- Deploy domain-specific agents
- Configure agent collaboration patterns
- Establish agent learning parameters
- Begin supervised autonomous operations
Introduce the network co-pilots to begin autonomous monitoring and analysis of network operations.
– Deploy domain-specific agents
– Configure agent collaboration patterns
– Establish agent learning parameters
– Begin supervised autonomous operations
Establish the core Performance Management system and begin capturing PM KPIs across your network domains.
– Deploy customer experience monitoring
– Establish experience baselines
– Create cross-domain correlation rules
– Begin experience-based prioritisation
Introduce the network co-pilots to begin autonomous monitoring and analysis of network operations.
– Deploy domain-specific agents
– Configure agent collaboration patterns
– Establish agent learning parameters
– Begin supervised autonomous operations
Phase 1
Foundation
Establish the core Performance Management system and begin capturing PM KPIs across your network domains.
- Deploy basic monitoring capabilities
- Establish KPI baseline measurements
- Integrate with existing data sources
- Train operations teams on new capabilities
Phase 2
Experience integration
Implement the Customer Experience Management system and begin correlating CEM KPIs with technical metrics.
- Deploy customer experience monitoring
- Create cross-domain correlation rules
- Establish experience baselines
- Begin experience-based prioritisation
Phase 3
Co-pilot deployment
Introduce the network co-pilots to begin autonomous monitoring and analysis of network operations.
- Deploy domain-specific agents
- Configure agent collaboration patterns
- Establish agent learning parameters
- Begin supervised autonomous operations
Use cases powered by agentic architecture
Use cases powered by agentic architecture
Predictive
maintenance
Network co-pilots monitor equipment health, predict failures and schedule maintenance — all before issues affect the service
Intelligent troubleshooting
Agents collaborate to diagnose complex issues across domains, sharing contextual information and suggesting optimised solutions
Autonomous
optimisation
Self-improving agents continuously finetune network parameters for optimal performance based on changing conditions
Experience-based prioritisation
CEM KPIs guide network management priorities to focus resources where customer impact is greatest
Are you ready to transform your network operations?
Discover how GenAIOps can bring autonomous intelligence to your network management through our revolutionary agentic architecture.
Our solution experts can demonstrate how these capabilities map to your specific operational challenges.
Flexible deployment options
Flexible deployment options
GenAIOps offers multiple deployment scenarios to fit your specific infrastructure needs and operational maturity.
1. Full stack implementation
Deploy our complete solution including Performance Management, Customer Experience Management and Network Co-Pilots
- Comprehensive integrated solution
- Single vendor simplicity
- Optimised cross-component performance
- Streamlined support and maintenance
2. Integration with existing systems
Keep your current PM and CEM systems while adding our agentic network co-pilots on top
- Leverage existing infrastructure investments
- Non-disruptive implementation
- Standardised API connectors
- Custom data adapters when needed
3. Hybrid approach
Augment parts of your infrastructure while replacing others to create an optimised environment
- Step-by-step transformation
- Risk-managed implementation
- Domain-specific deployment
- Phased investment approach
Our network co-pilots can extract and utilise KPI data from virtually any existing PM or CEM system, adding intelligent automation without replacement
4. Customised use case implementation
Target specific operational challenges with focused agentic capabilities
- Rapid deployment for high priority needs
- Quick ROI on targeted use cases
- Proof-of-concept validation
- Focused business outcomes
Integration framework for existing systems
Our flexible architecture is designed to work seamlessly with your existing infrastructure, without replacing your core operational systems. Our agentic architecture can sit on top of your current PM and CEM systems, extracting the KPI data needed to power our network co-pilots.
Our GenAIOps integration framework includes:
- Pre-built connectors for major vendor platforms (Ericsson, Nokia, Huawei, ZTE, etc.)
- Standard API adapters for common data formats and protocols
- Custom data transformation modules for proprietary systems
- Real-time streaming capabilities for high-velocity KPI ingestion
- Historical data import for baseline establishment
- Non-disruptive integration with your current tools and platforms
- Preservation of your existing investments while adding intelligent capabilities
This flexible approach allows you to implement immediately our agentic architecture,
delivering advanced autonomous capabilities while leveraging your current infrastructure investments
