AI agent for natural language operations and automated remediation

AIOps (Artificial Intelligence for IT Operations) uses machine learning and data analytics to enhance and automate IT operations. It correlates data from multiple monitoring sources — metrics, logs, events, traces — to identify patterns, detect anomalies, prioritise incidents, and recommend or automate remediation actions. The result is faster incident detection, reduced alert noise, and more proactive IT operations.

Enterprise AIOps applies AI-powered operational intelligence at the scale required by large organisations — processing millions of events, correlating signals across hundreds of services, and providing root cause analysis fast enough to protect business-critical systems. NCG's Overwatch module delivers enterprise AIOps natively within the EDGE platform, combining learned baselines, anomaly detection, and intelligent alert grouping.

AIOps improves IT operations by reducing alert noise, accelerating root cause analysis, detecting issues before they escalate, and enabling teams to focus on high-impact problems rather than managing alert floods. By correlating signals across the full observability stack — APM, infrastructure, logs, RUM, transactions — AIOps can identify the root cause of incidents that would otherwise take hours to diagnose manually.

AIOps reduces incident response time by automatically correlating related alerts into a single incident, ranking likely root causes by business impact, and surfacing relevant evidence from across the monitoring stack. What might take a team 90 minutes of manual investigation can often be reduced to minutes with AI-powered correlation and root cause analysis.

Edge AI Agent and Chatbot captures signals including anomaly confidence score, root cause rank, playbook step status, escalation chain state, agent response time, and provides natural language automation, escalation and resolution, recommend and approve and more.

Edge connects through lightweight agents or agentless connectors — typically 2–4 hours for a standard environment — and can be deployed on-premises, in your private cloud or in a regional cloud, so monitoring data stays within your jurisdiction.

Yes. Edge is designed for a no-rip-and-replace approach and connects alongside your existing stack, with 100+ integrations across cloud, containers, databases, APM agents, telemetry standards and alerting channels.

AI writes its data to the Edge Datalake, so it can be queried and correlated in real time with application traces, logs, infrastructure metrics and real user data from the other Edge modules.

Pricing is tailored to the scale of your environment, the modules you choose and your deployment model. Start with a short, no-obligation discovery session and NCG will prepare a scoped proposal.