Rob Newell, GVP Customer Adoption for Asia Pacific and Japan (APJ), New Relic, says businesses that fail to integrate agentic AI risk falling behind competitors who are actively leveraging these capabilities.
Every minute of downtime is money lost. With IT outages costing businesses up to $1.9m per hour, the need for intelligent, proactive solutions has never been greater.
Yet most businesses still rely on outdated, reactive strategies to keep operations running. That’s about to change. Intelligent observability coupled with agentic orchestration and AI-powered predictions, are ushering in a new era where uptime isn’t just maintained, it’s maximised for efficiency and resilience, yielding higher return on investment (ROI) for businesses.
By transforming IT from a cost centre into a competitive advantage, these technologies don’t just prevent failures; they unlock new opportunities for growth, innovation, and operational excellence.
From insights to action: The power of agentic AI in business operations
With agentic AI, intelligent observability platforms can take action and elevate capabilities. Think of your business infrastructure as a vast city with countless roads, traffic signals and buildings – all working in sync.
Traditional monitoring acts like a network of traffic cameras that alert human operators when issues arise but leave them to manually investigate and resolve problems. Agentic AI takes this a step further.
These cameras don’t just observe; they deploy intelligent traffic controllers that instantly assess and fix issues, often before disruptions occur. Consider a major brand product launch: if its digital storefront crashes due to a critical system anomaly, instead of engineers scrambling to diagnose the issue, AI agents rapidly scan the system, identify anomalies and take corrective action.
This is what the evolution into a self-regulating, AI-driven ecosystem looks like, it’s essentially process reimagination. Where earlier AI tools like retrieval-augmented generation (RAG) helped bring relevant information to a single agent, agentic orchestration frameworks elevate the entire system by enabling multi-agent collaboration. It’s not one AI assistant, it’s an AI team with each agent contributing to better outcomes.
The power of AI predictions: Solving problems before they happen
While agentic orchestration optimises workflows, predictive AI ensures uptime by identifying issues before they escalate. Leveraging machine learning, predictive AI analyses historical data, detects anomalous patterns and forecasts system failures before they happen, enabling organisations to shift from reactive problem-solving to proactive resilience.
We already see this capability in agentic integrations that extend business-critical observability insights into popular third-party platforms, such as GitHub Copilot, Amazon Q Business and even ServiceNow.
These clever AI integrations act as a kind of ever-present co-worker, suggesting code, flagging issues and accelerating the development process.
These integrations empower businesses to:
- Make intelligent, prioritised decisions: AI agents assess system health, detect anomalies, and prioritise critical issues before they escalate.
- Eliminate context switching: By surfacing insights directly within GenAI-powered interfaces, IT teams can make informed decisions without toggling between multiple tools.
- Enable user-defined context: Retrieval-augmented generation (RAG) technology ensures that AI-driven insights are tailored to specific business needs, improving accuracy and relevance.
From observability to autonomous operations
Observability platforms powered by agentic AI go beyond traditional monitoring. They stitch together critical enterprise systems, enabling autonomous problem-solving and self-healing applications. By leveraging AI-driven insights, IT teams can shift their focus from firefighting incidents to driving innovation and improving customer experiences.
Agentic orchestration and predictive AI also offer significant operational benefits for businesses, especially in APAC, where intensifying competition, evolving regulations, and economic volatility are significant challenges. In this dynamic region, approximately 70% of APAC organizations anticipate that agentic AI will significantly disrupt their business models within the next 18 months. To navigate these changes effectively, businesses must leverage AI to not only drive immediate results but also add a powerful advantage – helping businesses stay ahead of disruptions, streamline operations, and fuel sustainable growth.
Are businesses ready to adapt?
Despite the clear benefits, many enterprises remain hesitant to fully embrace AI-driven automation, however, the cost of inaction is growing and businesses that fail to integrate agentic AI risk falling behind competitors who are actively leveraging these capabilities to reduce downtime, enhance resilience, and unlock new levels of innovation. The shift to autonomous, AI-powered operations is not a question of if but when. The enterprises that proactively adopt agentic orchestration and predictive AI will be the ones that not only survive but thrive in this new era of intelligent business uptime.
