ORBOPS / COMPANY
Infrastructure needs judgment, not another dashboard.
OrbOps AI is building O2 AI to connect operational evidence, specialist agent reasoning, and accountable action across the systems infrastructure teams already operate.
Change intent
Current state
Permitted action
Accountability
O2
CONNECTED JUDGMENT
A production decision is rarely a single-tool decision.
Repository history, service topology, runtime state, identity, policy, cost, and ownership all shape what a team should do next. Today, those facts arrive as disconnected alerts, tickets, dashboards, and conversations.
We believe the opportunity is not to hide that complexity behind a chatbot. It is to connect the evidence, prepare a legible recommendation, and make the boundary between machine initiative and human authority unmistakable.
Build for the decision, not the demo.
See the whole operating picture
A decision should carry its code, service, ownership, policy, runtime, and change context with it.
CONTEXT IS PART OF THE WORK, NOT AN APPENDIX.
Make authority visible
Agents can investigate and prepare work proactively. Policy and accountable people determine what can proceed.
EVERY CONSEQUENTIAL ACTION HAS A CLEAR DECISION POINT.
Learn from the outcome
Validation, reviewer decisions, incidents, and recovery become evidence for the next recommendation.
THE OPERATING MODEL IMPROVES THROUGH REAL FEEDBACK.
Three layers. One accountable operating model.
SPECIALISTS
Agents with a bounded operational role
Focused reasoning for releases, incidents, access, security, cost, and infrastructure.
CONTEXT
One connected view of the system
Relationships, ownership, policy, history, and current state travel with the decision.
CONTROL
Explicit limits around action
Review, policy, escalation, and recovery remain visible parts of the workflow.
THE STANDARD
Product discipline before product claims.
OrbOps is in private beta. These are the standards we are building toward, not unsupported performance or compliance guarantees.
Trace the evidence
Show which observed signals shaped a recommendation.
Explain the decision
Make scope, uncertainty, ownership, and policy legible.
Preserve accountability
Route consequential work to the right human or policy boundary.
Prepare recovery
Treat reversibility and verification as part of the original plan.