O2 AI · Private beta
AI for ITOps, with an owner for every decision
AI for ITOps applies connected system context to everyday IT operations: understanding infrastructure, preparing access changes, investigating incidents and planning requests. OrbOps O2 AI brings specialist agents to these infrastructure workflows. People remain responsible for approvals, operational risk and the systems they own.
Begin with a recurring infrastructure workflow
IT operations work often crosses several systems before anyone can make a decision. A service owner may be missing from an inventory; an access request may lack a duration; a provisioning request may omit cost or backup requirements. The first useful step is to assemble the evidence and expose the missing decisions.
O2 AI organizes this work by operational domain. Evaluate one workflow with its accountable team before widening access. The scope below concerns infrastructure operations; it does not imply a general employee helpdesk, an ITSM replacement or support for every enterprise application.
| Workflow | O2 AI role | Human checkpoint |
|---|---|---|
| Infrastructure discovery | Map connected services, dependencies and ownership gaps | Validate inferred relationships and scope |
| Access requests | Prepare identity, privilege, risk and duration context | Grant or reject the proposed access |
| Joiners, movers and leavers | Organize the requested lifecycle changes | Confirm the user transition and affected systems |
| Incident response | Relate symptoms, recent changes, ownership and runbooks | Review hypotheses and decide any production action |
| Infrastructure requests | Prepare requirements, cost context and policy checks | Approve the provisioning plan |
| Cloud cost planning | Separate billing evidence from optimization scenarios | Review tradeoffs before an authorized change |
ITOps, AIOps, AI SRE and AI DevOps: related, with different scopes
These labels overlap and vendors use them differently. Use the operational task to define the pilot rather than treating a category name as a promise of feature coverage.
| Term | Useful working distinction |
|---|---|
| ITOps | Operating and supporting IT systems, their access and their ongoing service needs |
| AIOps | Applying AI to operational signals, such as correlating alerts and identifying anomalies |
| AI SRE | Applying AI to reliability tasks, including incident triage and investigation |
| AI DevOps | Applying agents to delivery and infrastructure workflows as well as operational context |
| FinOps | Connecting technology costs with engineering, finance and business decisions |
Inspect the handoff from evidence to action
Consider an illustrative request for temporary access to a production service. The access workflow needs a verified identity, requested scope, intended duration and system owner. Infrastructure context helps identify the target; policy determines the approval route. A missing owner is a question to resolve, not authority for the agent to invent one.
The reviewer should see the request, evidence, proposed scope and recovery or revocation path together. Verify the configured boundary before enabling a production action. Record what was proposed, who approved it and what actually happened. This example describes a review pattern, not a completed customer deployment.
Define the pilot boundary before connecting systems
Bring one recurring task, the tools it touches and the person accountable for its outcome. Agree the available read operations, any proposed writes, data handling requirements and the way credentials can be revoked. Confirm which connections are supported in the current beta.
Measure whether the resulting plan contains the information your reviewer needs, how many corrections it requires and whether denied or incomplete requests stop at the right boundary. Check the resulting state independently after any permitted action. Keep service reliability and human review effort alongside task completion in the evaluation.
- Document the target accounts, projects, services and environments.
- Name the approver and the actions that remain outside the pilot.
- Keep unknown ownership, unsupported integrations and missing telemetry visible.
- Agree the evidence needed to widen scope or stop the pilot.
Explore the relevant workflows
- Infrastructure autodiscovery
Review service maps and ownership context.
- AI access management
Inspect time-bound access and accountable decisions.
- User lifecycle agent
Prepare joiner, mover and leaver changes.
- Infrastructure requests
Turn requirements into a reviewable provisioning plan.
- AI SRE incident investigation
Prepare incident evidence and diagnostic hypotheses.
- AI FinOps agent
Connect billing evidence to cost decisions.
Bring one workflow to the beta.
Discuss your environment, required connections and approval boundaries with the OrbOps team.