Agentic AI for Cloud Operations, With Humans Still in Control
WMIntelliops is built on a detect-plan-approve-execute loop: agents don't just alert, they draft the fix — and your engineer is the one who decides whether it runs.
What is agentic AI for cloud operations?
Most "AI" in operations tooling is really analytics: it spots an anomaly and shows you a chart. Agentic AI goes further — an agent perceives a situation, reasons about it, forms a plan, and can take action toward a goal. Applied to cloud operations, that means the difference between a tool that says "latency is high on prod-db-01" and one that says "latency is high because of this query change; here is the rollback and scale-up I propose; approve to run it." The agent does the work up to the decision, and a human makes the decision.
WMIntelliops is built entirely on this model, expressed as a four-step loop: detect, plan, approve, execute. AlarmIQ™ detects and correlates. AutoRemedy™ plans the fix with blast radius, cost, and a risk score attached. A human approves or rejects — the single gate every agentic action must pass. Then the approved action runs with a full audit trail, rollback capability, and post-validation. The loop is identical for a scaling change, a security-group edit, or a cost cleanup, which is what makes it safe to trust at scale.
This is a deliberate design choice, not a limitation. Enterprise cloud operations cannot run on blind trust in an AI's judgement, so the approval gate is built in from the start rather than bolted on. WMIntelliops is agentic, not autonomous-by-default — you get the speed of automation with the accountability of human sign-off on everything that matters.
Four steps, one gate
Every agent — across incidents, cost, and governance — runs the same loop, so the behaviour is predictable no matter what the action is.
Detect, plan, approve, execute. The third step is never skipped, and every step is logged.
Detect
AlarmIQ™ correlates signals across your stack and identifies a likely root cause in real time, turning a symptom storm into one incident.
Plan
AutoRemedy™ drafts a precise remediation plan, with blast radius, cost, and a risk score attached — so the approver decides with full context.
Approve
An engineer reviews the plan and approves or rejects it in Slack or the console — the one gate every agentic action passes through.
Execute
The approved action runs with a full audit trail, rollback capability, and post-validation, and RunScribe™ documents it automatically.
Agentic, not autonomous-by-default
The approval gate is the design, not a limitation bolted on afterward — it is what makes agentic AI trustworthy in production.
Autonomy without accountability is a liability. WMIntelliops keeps the human where the judgment is needed and automates everything around it.
100% Human-Approved Actions
Every critical action across every agent requires explicit sign-off before it executes — there is no silent auto-apply path.
Full Audit Trail
Every proposal, approval, and execution is logged — reviewable evidence for a change board or an auditor, not a black box.
Modular Agent Squads
SmartOps™ (incidents), AutoFinOps™ (cost), and CloudTrack™ (governance) — three specialized squads sharing one Agentic AI core, so context is shared across domains.
This model also scales trust gradually. You can scope stricter review for your most sensitive systems, expand agent coverage as the team gets comfortable, and know that the gate never moves regardless of how much you automate. The agents get faster and more capable; the human accountability stays constant.
Where agentic AI earns trust
The approve-before-execute model is exactly what makes automation adoptable in serious environments.
Risk-averse enterprises
Teams that could never allow an AI to touch production autonomously get automation they can actually approve, with an audit trail for every action.
Change-managed organizations
The approval gate maps cleanly onto existing change-management processes — the agent drafts, the human is the change approver.
Growing platform teams
Start with read-only proposals, expand to approved automation as confidence grows, without ever giving up oversight.
Questions about agentic ai for cloudops
Regular AIOps analyses and alerts. Agentic AI perceives, plans, and acts toward a goal — in WMIntelliops it drafts and (once approved) executes the fix, not just the diagnosis.
Related capabilities
Watch the approval loop in a real demo
See a live incident go from detection to an engineer-approved fix, or start a 7-day free trial.