Incedo Proxima AIOps & Intelligent Network Operations for Telecom

Transform Telecom Operations with AI-Powered Predictive Network Intelligence

Modern telecom and digital service provider networks generate massive volumes of alarms, telemetry, logs, topology events, and performance signals every second across access, transport, core, edge, cloud, and customer-impact layers. Yet many Network Operations Center (NOC) teams still operate reactively—responding only after outages, degradations, or customer-impacting incidents occur.

By the time alerts are escalated through traditional workflows, service quality, operational efficiency, customer trust, and revenue may already be at risk.

Incedo Proxima is an AI-powered AIOps and intelligent network operations platform that helps telecom providers move from reactive firefighting to proactive network assurance. Built on AWS, the platform continuously analyzes network behavior in real time, detects anomalies early, predicts outages before customer impact occurs, and enables faster intervention through AI-driven insights, automated correlation, and remediation recommendations.

Instead of managing incidents after disruption occurs, organizations can proactively prevent outages, improve service assurance, strengthen network resilience, modernize NOC operations, and optimize customer experience at scale.

Why Traditional Network Operations Models Fall Behind

Legacy telecom operations environments often depend on threshold-based alerts, disconnected observability tools, manual incident triage, and siloed monitoring systems spread across OSS/BSS, infrastructure, transport, and service layers.

Operations teams are flooded with alarms but often lack:

Context on business and customer impact Cross-domain visibility Intelligent alarm correlation Real-time root cause analysis Predictive operational intelligence Prioritized remediation guidance

This leads to:

Higher mean time to resolution (MTTR) Repeated service incidents Avoidable outages Increased operational cost Alarm fatigue Slower incident response Poor customer experience and higher churn risk How the Platform Creates Value

Incedo Proxima ingests telemetry, alarms, topology signals, logs, KPIs, and service performance data from across the telecom network ecosystem. AI and machine learning models continuously learn normal operating patterns and identify deviations that may indicate degradation, congestion, infrastructure failures, capacity risks, or impending outages.

The platform delivers:

AI-powered anomaly detection Predictive outage prevention Intelligent alarm correlation Telecom root cause analysis AI-assisted remediation recommendations Network performance analytics Service assurance intelligence Automated stakeholder notifications Cross-domain operational visibility AI copilots for NOC operations teams

Generative AI and agentic AI capabilities can assist operations teams with incident summarization, remediation guidance, operational insights, and intelligent troubleshooting recommendations.

Operational teams gain a unified and intelligent view of network health across access, transport, infrastructure, cloud, and customer-impact domains—helping teams act earlier, resolve incidents faster, and prevent repeat failures.

Common Use Cases Telecom AIOps modernization NOC automation Network anomaly detection Predictive outage prevention AI-powered root cause analysis Intelligent alarm correlation Telecom observability Service assurance optimization 5G network operations analytics Fiber and transport network monitoring Customer experience assurance Telecom incident management Infrastructure observability AI-driven remediation workflows Network resilience and uptime optimization Built on AWS

Built on AWS, the platform can leverage:

Amazon Kinesis for real-time telemetry and event ingestion Amazon SageMaker for anomaly detection and predictive AI models Amazon Bedrock for generative AI reasoning, AI copilots, and intelligent recommendations Amazon CloudWatch for infrastructure observability AWS Glue for telecom data engineering and transformation Amazon Redshift for operational analytics Amazon QuickSight for dashboards and network intelligence visualization AWS Lambda for workflow automation Amazon OpenSearch Service for operational search and event intelligence Amazon S3 for secure telemetry and operational data storage Business Impact

Organizations can reduce downtime, improve service reliability, shorten mean time to resolution (MTTR), lower operational costs, reduce alarm noise, improve customer experience, strengthen network resilience, and reduce customer churn.

By modernizing network operations with AI-powered telecom intelligence, service providers can build scalable, future-ready operations models that improve operational efficiency, accelerate issue resolution, and deliver more resilient digital services across evolving telecom environments.