Intelligent Observability & Agentic AI: The Future of GCC-Led Engineering

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As digital systems grow more complex and AI-driven, enterprises are rethinking how they ensure reliability at scale. This report explores how intelligent observability and agentic AI are enabling GCCs to shift from reactive operations to predictive, intelligence-led engineering.

Insights from the AIM & New Relic closed-door GCC leadership roundtable

As enterprises accelerate AI adoption and scale complex digital systems, reliability and operational intelligence are becoming strategic imperatives. At a closed-door roundtable convened by AIM and New Relic in Goa, senior engineering, platform, AI/ML, and GCC leaders discussed how Intelligent Observability and Agentic AI are redefining enterprise operations.

The discussion highlighted a clear shift from reactive monitoring to intelligence-led operations, as growing system complexity renders traditional approaches inadequate. Leaders emphasized the need for unified observability frameworks and agent-driven models to enable faster diagnosis, proactive reliability, and smarter decision-making at scale.

Key takeaways from the roundtable included:

  • Observability is becoming strategic: Enterprises are moving beyond fragmented tools toward unified system intelligence.

  • Predictive operations are the next frontier: AI-driven insights are improving early detection and service reliability.

  • Agentic AI is redefining workflows: AI agents are automating diagnosis, remediation, and operational processes.

  • GCCs are central to transformation: Indian GCCs are driving global adoption of intelligent observability and agent-led operations.

This report captures the emerging patterns, strategic priorities, and leadership perspectives shaping the future of enterprise operations. Engineering leaders, GCC heads, platform owners, and CIOs will find actionable insights to guide their shift toward predictive, autonomous digital environments. Download the full report for deeper insights and enterprise use cases.

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