Abstract

Intent-driven AIOps enables CSPs to move from reactive incident handling to predictive assurance, governed automation, and progressive self-healing operations.

It outlines the role of observability, service context, agentic AI, standard-led integration, and responsible governance in reducing alarm noise, accelerating root-cause analysis, improving service resilience, and linking operational performance to customer and business outcomes.

Advance Modal Components
Explore intent-driven AIOps for autonomous telco operations
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Key Insights

Focus on Signals, Not Noise

Operational success depends on identifying the events that matter most. AIOps helps cut through alarm noise to accelerate decisions and improve service outcomes.

Context Before Automation

Automation is only as effective as the data behind it. Trusted telemetry and service context provide the foundation for reliable AI-driven operations.

Think Services, Not Alarms

Service-aware correlation links technical events to business impact. This enables faster root-cause identification and more effective incident resolution.

About the Author
neha-saxena
Neha Saxena
Principal Solution Architect, Tech Mahindra

With more than 18 years of experience, Neha Saxena is a principal solution architect in telecom transformation, enterprise architecture, and AI-led operations. She helps enterprises build predictive, self-healing, AI-augmented operations with strong governance, security, compliance, resilience, observability, and data sovereignty.