Every critical ops workflow,
detected, planned, and approved
WMIntelliops watches your cloud, cost, and security posture around the clock — 52+ specialized AI agents correlate signal, draft the fix, and route it for human approval before anything executes on your infrastructure.
Every feature, its own deep dive
Open any feature to see how it works, what it automates, and where humans stay in control.
WAR Compliance
Continuous AWS Well-Architected Review scanning across all six pillars, with automated guardrail enforcement and prioritized, human-approved remediation — powered by Service Screener v2.
ExplorePredictive Threats
Predictive threat intelligence that correlates Wazuh SIEM, CloudWatch, and Kubernetes events to score risk, predict attack paths, and surface approval-gated SOAR playbooks before incidents escalate.
ExploreLive Activity
Real-time ticket processing and alarm monitoring — AI auto-resolves routine alarms, routes the rest for human review, and closes 68% of alarms automatically with 95% accuracy.
ExploreNexus (L2/L3)
Nexus lets L2/L3 engineers run full account analysis and remediation with no console access and no shared credentials — scoped, time-limited AWS Assume Role sessions, fully audit-logged.
ExploreHuman-Approved Remediation
Every fix an agent drafts routes through a dedicated approvals workflow — nothing executes until an engineer signs off. Full audit trail and rollback on every action.
ExplorePredictive Analysis
Predictive analytics that forecast capacity needs, predict SLA breaches, and surface cost anomalies days ahead — so problems get handled before they reach production.
ExploreAIOps & Automation
AIOps and automation with WMIntelliops: AlarmIQ™ correlation, AutoRemedy™ remediation drafting, and auto-generated runbooks — agents that act, not just alert, with human approval on every fix.
ExploreFinOps & Cost Intelligence
AutoFinOps™ cost intelligence: anomaly detection, idle resource identification, and AI-led spend forecasting — cloud cost visibility that finds waste for you, with approval-gated cleanup.
ExploreSecurity & Compliance
CloudTrack™ security and compliance: continuous security-posture scanning, IAM drift detection, and predictive threat intelligence correlating SIEM, CloudWatch, and Kubernetes events.
ExploreMulti-Cloud & ITSM
One control plane across AWS, Azure, and GCP with native ITSM connectors — Jira, Freshservice, Zoho Desk, ServiceNow, Slack, and PagerDuty — no rip-and-replace of your existing stack.
ExploreVoice Escalation
When a critical incident goes unacknowledged, an agentic AI places a voice call to the on-call engineer — briefs the incident, proposes a fix, and executes only what the engineer approves on the line, synced to your ITSM.
ExploreWMGovernGate™ (LLM Gateway)
WMGovernGate™ is the LLM gateway every agent call routes through — destructive-action barriers, policy-based approve/block enforcement, per-team token budgets, PII redaction, and a full audit trail before a request ever leaves.
ExploreCloud Governance
CloudTrack™ governance: continuous policy-drift detection, mandatory tagging audits, and automated guardrail enforcement across every account — with human-approved remediation on every change.
ExploreCloud Modernization
Guided cloud modernization backed by AWS Transform — re-architecture and migration paths for legacy workloads, surfaced alongside the operational data that justifies them. Every migration stays human-approved.
ExploreThree modules.
One Agentic AI core.
The foundation that powers intelligent decision-making, workflow orchestration, and continuous learning — embedded across every module below.
SmartOps™
Real-time incident detection, correlation, triaging, and resolution — SLA-driven workflows and L1 automation powered by the Agentic AI Core.
CostAutoFinOps™
AI-led optimization and automated budget control across environments, with deep visibility into cloud spend, waste, and usage patterns.
GovernanceCloudTrack™
Continuous security posture, governance, and compliance enforcement — policy drift detection, tagging audits, and real-time alerts.
See WMIntelliops
in action
A unified control plane for your cloud ops — from predictive threat intelligence to live alarm processing and zero-console account diagnostics.
Everything your ops team needs,
automated by AI
From predictive threat intelligence to zero-console account diagnostics — WMIntelliops handles the complexity so your engineers focus on what matters.
Human-Approved Remediation
Every fix an agent drafts routes through a dedicated Approvals workflow — nothing executes on your infrastructure until an engineer signs off.
WAR Compliance
Continuous AWS Well-Architected Review scanning and automated enforcement of guardrails across every pillar.
Predictive Alarm Analysis
ML-powered alarm correlation engine reduces alert noise by 80%, surfacing root causes before your on-call wakes up.
Predictive Threat Intelligence
Correlates Wazuh SIEM, CloudWatch, and Kubernetes events to score risk per server, predict attack paths, and surface approval-based response playbooks before incidents escalate.
Agentic AI Workflows
Agents set automated workflows that detect, diagnose, remediate, and report — with human approval gating every critical step.
Predictive Analytics
Forecast capacity needs, predict SLA breaches, and surface cost anomalies before they impact production environments.
Multi-ITSM Integration
Native connectors for Jira SM, Zoho Desk, Freshservice, ServiceNow and PagerDuty — zero rip-and-replace.
Multi-Cloud Intelligence
Unified visibility across AWS, Azure, and GCP. One control plane for alarms, costs, security posture, and compliance.
Auto Runbook Generator
Every resolved incident automatically produces a complete, structured runbook published to Confluence, Notion, or Jira in under 60 seconds.
WMIntelliops Nexus
L2/L3 engineers perform full account analysis and remediation directly from Intelliops Nexus — no console access, no shared credentials, complete audit trail per session.
Service Map
Live dependency mapping across services and infrastructure, so an incident on one component shows its blast radius across everything connected to it.
Cloud Modernisation
Guided modernization recommendations for legacy workloads — re-architecture and migration paths surfaced alongside the operational data that justifies them.
Voice Escalation
Critical, unacknowledged incidents automatically trigger a voice call to the on-call engineer — not just another notification to miss. Acknowledge or approve a remediation right on the call.
Website RCA
Automated root-cause analysis for website and application-layer issues — correlating uptime, performance, and infrastructure signals in one trace.
Channel Notifications
Incidents, approvals, and reports route to Slack, Teams, or email automatically — your team stays informed without living inside another dashboard.
Security Intelligence
IAM privilege-drift detection, policy and tagging audits, and a full compliance evidence trail — the record an AWS MSP validation or SOC 2 review asks for.
Cost Intelligence
Anomaly detection, idle-resource identification, and budget tracking across accounts — cloud spend visibility that stops living in a spreadsheet.
Infrastructure Monitoring
Real-time dashboard across hosts, VMs, and services — the live view your team checks before, not after, something breaks.
Predictive Analysis
Trend-based forecasting flags capacity limits and likely SLA breaches days ahead — so the fix happens before the incident, not after.
MSR Portal
Auto-generated Managed Service Reports — incidents, SLA performance, and cost trends packaged for stakeholders without a manual monthly roll-up.
AI Agent Roster
Every specialized agent across SmartOps™, AutoFinOps™, and CloudTrack™ in one browsable roster — what each one watches, and what it's allowed to do.
AI Gateway & LLM Governance
Every LLM call — from any agent, any model — routes through WMGovernGate™ first: quota and budget tracking per team, policy-based approve/block enforcement, and a full audit trail before a request ever leaves the gateway.
Operational performance
metrics that matter
WMIntelliops isn't just intelligent — it's measurably impactful. Here's what changes for the business, not just the on-call engineer.
Before WMIntelliops
- High MTTR
- Low first contact resolution
- SLA violations
- Repetitive, manual tickets
- High escalation rates
- Manual triaging & delayed insights
After WMIntelliops
- 12-min average MTTR (AI-handled)
- 75% first contact resolution
- 99.2% SLA compliance
- 40% tickets deflected before creation
- 60% AI-led resolution rate
- <3% error rate in AI-generated responses
Your cloud ops team,
supercharged by AI.
WMIntelliops deploys in hours — not months. No rip-and-replace. Connect your AWS accounts, wire your ITSM, and let 52+ AI agents start working immediately. Every action stays in your control.