Meet the 52+ AI Agents Behind WMIntelliops
Every agent in WMIntelliops belongs to one of three modules — SmartOps™, AutoFinOps™, or CloudTrack™ — and every one of them works the same way: detect, plan, wait for approval, execute.
What are AI agents in cloud operations?
An AI agent is a piece of software that perceives a situation, reasons about it, and works toward a goal — not a chatbot that answers questions, and not a static script that runs the same steps regardless of context. In cloud operations, that means an agent that watches a specific domain (say, alarms or cost), understands what it is seeing, and proposes a concrete action. WMIntelliops runs 52+ such specialized agents, each expert in a narrow job, coordinating through a shared Agentic AI core so that signal from one domain informs decisions in another.
The agents are organized into three modules that map to the three big jobs of running cloud: SmartOps™ handles incidents — detection, correlation, triage, and resolution with SLA-driven workflows and L1 automation. AutoFinOps™ handles cost — AI-led optimization and budget control with deep visibility into spend, waste, and usage. CloudTrack™ handles governance — continuous security posture, policy-drift detection, tagging audits, and compliance enforcement. You can adopt one module or all three; the relevant agents activate for whatever you connect.
What unites all 52+ agents is a single rule: they propose, a human approves, then the platform executes and documents. No agent — in any module — takes a critical action without explicit sign-off. That consistency is what makes a large fleet of autonomous-feeling agents safe to run against production, and it is why WMIntelliops describes itself as agentic, not autonomous-by-default.
One Agentic AI core, three specializations
Every agent lives in one of three modules, but they all share the same brain and the same approval discipline.
Adopt the modules you need. The agents inside them activate for the accounts and tools you connect.
SmartOps™
Real-time incident detection, correlation, triaging, and resolution — SLA-driven workflows and L1 automation that cut the pager storm.
AutoFinOps™
AI-led cost optimization and automated budget control, with deep visibility into spend, waste, and usage patterns across clouds.
CloudTrack™
Continuous security posture, governance, and compliance enforcement — policy-drift detection, tagging audits, and real-time alerts.
Specific agents, specific jobs
The named agents are the ones you will see most often — each does one job well and hands off to the others.
A few of the agents by name, so the fleet is concrete rather than abstract.
AlarmIQ™
Predictive alarm correlation and noise reduction — the front line of SmartOps™, cutting duplicate alerts by up to 87%.
AutoRemedy™
Drafts the remediation plan with blast radius, cost, and risk attached, ready for a human to approve.
RunScribe™
Auto-generates a structured runbook the moment an incident closes and publishes it to Confluence, Notion, or Jira.
Behind these named agents are dozens more, each scoped to a specific service or task — database performance, load balancers, CloudTrail audit, IAM governance, backup verification, and so on. They do not work in isolation: because they share the Agentic AI core, a cost anomaly flagged by AutoFinOps™ can inform a SmartOps™ incident, and a CloudTrack™ security finding can trigger a proposed remediation. The fleet behaves less like a pile of separate scripts and more like a coordinated operations team that never sleeps — and always asks before it acts.
Where a fleet of agents changes the math
Specialized agents let a small team cover an operational surface that would otherwise need a much larger one.
Lean ops & SRE teams
Cover incidents, cost, and governance across a large estate without hiring a specialist for each domain — the agents are the specialists.
MSPs running many accounts
The same agent fleet operates across every client account, with per-account audit trails and human approval on every action.
Teams standardizing operations
Because every agent follows the same detect-plan-approve-execute loop, operations become consistent and auditable across the whole organization.
Questions about ai agents
Software that perceives a situation, reasons about it, and works toward a goal — here, watching a specific ops domain and proposing concrete actions. It is not a chatbot or a fixed script.
Related capabilities
Watch the agents work on your stack
Book a live demo, or start a 7-day free trial and see which agents activate on your account.