Augmented Operations

Unlock your team deep operational intelligence, augmented with superior preventive maintenance power.

Eliminate operation complexity, transform the E2E model

Discover how Avanseus applies Artificial Intelligence (AI) and machine learning (ML) to realize fully predictive operations and enable zero touch automation.

Eliminate operation complexity,
Eliminate operation complexity,

Achieve Extreme Operations Automation via key Applications

Fault Prediction

We use patented AI based algorithm to accurately predict active/passive infrastructure and service level faults, neutral to the technology domains and vendors

Fault Prediction
Fault Prediction
Predictive Maintenance
Predictive Maintenance

Predictive Maintenance

Push your service operation cycle to a superior experience empowered by Cross-Domain Correlation, Root Cause Analysis (RCA), Faults Prioritization and Integrated Automations

Topology Discovery

Forget the cross-correlation complexity and long RCA analysis thanks to detailed relations and connectivity info identification. Elevates the user experience with graphical view interaction for a complete nodes and equipment control.

Topology Discovery
Topology Discovery
Health Index Prediction
Health Index Prediction

Health Index Prediction

Anticipate equipment deterioration and failures much before it happens, acting over the performance degradations. Health Index is assigned to equipment for degradation prediction, allowing you responding in advance to potential problems, selecting the level of severity.

Inventory Optimization

Categorize the predictions focusing on the equipment components failure better organize the repair and replacement process the lifetime management. Take control of your inventory anticipating critical events, planning efficient interventions

Inventory Optimization
Inventory Optimization

Improve operation excellence

Provide faults reports and recommendations to augment operation centres agility

Measurable KPIs

  • Mean Time to Resolution reduction
  • Problem Resolution Indirect Time reduction
  • Tickets number reduction
  • Overall alarms reduction

Lower maintenance costs

Predict faults reducing equipment failures and interventions

Measurable KPIs

  • Mean Time to Resolution reduction
  • Network Uptime increase
  • Field Visits number reduction
  • Tickets number reduction
  • Overall alarms reduction
  • Overall Equipment Effectiveness (OEE) increase
  • Equipment lifetime extension

Increase Customer Satisfaction

Prioritize top critical issues to better schedule urgent actions and reduce customer churn

Measurable KPIs

  • High priority service impacting tickets number reduction
  • NPS increase
  • Tickets number reduction

Remove operation uncertainty

Analyse faults root causes empowering continuous learning and resolution process

Measurable KPIs

  • Problem Resolution Indirect Time reduction
  • Overall alarms reduction
  • Tickets number reduction

Simplify complexity

Cross domain correlation and topology enhance multi domain faults handling

Measurable KPIs

  • Mean Time to Resolution reduction
  • Filed Visits number reduction

Support assets inventory

Elements failing prediction helps to better organize the assets inventory

Measurable KPIs

  • Network Uptime increase
  • Field Visits number reduction
  • Tickets number reduction
  • Equipment lifetime extension