
Fortune 500 enterprises and high-growth SaaS companies trust AIOps to deliver measurable, board-level outcomes. Here's what Alrium clients achieve within the first 90 days.
Faster MTTR
Noise Reduction
Availability SLA
Annual Savings

Your competitors are already leveraging AIOps to achieve 99.99% uptime, cut Opex by 40%, and ship 3x faster. Every day you wait costs you $5,600 per minute of unplanned downtime. Let's change that — starting with a complimentary AIOps maturity assessment.
Get Your Free AIOps Maturity Assessment →AIOps (Artificial Intelligence for IT Operations) is a Gartner-defined category that applies machine learning, big data analytics, and automation to IT operations. Unlike traditional monitoring tools that generate alerts reactively, AIOps platforms perform real-time event correlation, predictive anomaly detection, root cause analysis (RCA), and automated remediation. The result: your NOC shifts from manual triage and war rooms to autonomous, self-healing operations — reducing MTTR by up to 80% and alert noise by 95%.
Most Alrium clients achieve measurable outcomes within the first 30-90 days. Week 1-2: alert noise reduction of 80-95%, immediate MTTI improvement. Week 4-8: automated remediation covering 40-60% of recurring incidents. By Day 90: full autonomous operations on Tier-1 use cases, with quantifiable savings averaging $2.4M annually in reduced downtime, optimized cloud spend (FinOps), and recovered engineering productivity. We offer outcome-based SLAs to guarantee your ROI.
Absolutely. Alrium's AIOps platform provides 200+ pre-built integrations including Datadog, Splunk, New Relic, Dynatrace, Prometheus, Grafana, ELK Stack, AWS CloudWatch, Azure Monitor, GCP Operations Suite, ServiceNow, PagerDuty, Jira, and OpsGenie. We also support OpenTelemetry, custom webhooks, and REST APIs for proprietary systems. Our platform acts as an intelligent orchestration layer — you keep your existing investments while gaining AI-powered correlation and automation on top.
No. AIOps is designed as an overlay intelligence layer, not a replacement. It ingests telemetry from your existing APM, infrastructure monitoring, log management, and ITSM tools — then applies ML-driven correlation, topology-aware deduplication, and automated runbook execution across all data sources. Over time, as AIOps consolidates capabilities, many clients naturally retire redundant tools — reducing toolchain sprawl and licensing costs by 40-50%.
AIOps delivers the highest ROI for organizations managing complex, distributed IT environments — typically mid-market to enterprise companies (200+ employees) with hybrid-cloud or multi-cloud architectures, microservices-based applications, and high-volume event streams (1M+ events/day). Key industries include financial services (trading platforms, payment systems), healthcare (EHR uptime, HIPAA compliance), e-commerce (seasonal scaling, checkout reliability), SaaS platforms (SLA management, tenant isolation), and telecommunications (network operations, 5G orchestration). If your team is drowning in alerts and spending more time on incident response than innovation — AIOps is your force multiplier.
AIOps enhances SecOps by applying behavioral analytics and unsupervised ML to detect zero-day threats, insider anomalies, and lateral movement patterns that rule-based SIEM tools miss. Automated SOAR integration enables sub-60-second threat containment — isolating compromised workloads before blast radius expands. For compliance (SOC 2, HIPAA, PCI-DSS, ISO 27001, GDPR), AIOps provides continuous automated auditing, real-time policy enforcement, immutable audit trails, and on-demand compliance reporting — turning regulatory obligations from a quarterly fire drill into a continuously validated state.