Autopilot for Hybrid Cloud Management

Delegate ITOps management to our Agentic AI suite. Enable autonomous, policy-driven operations across hybrid and multi-cloud environments – while retaining human-in-the-loop (HITL) oversight and governance.

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Human-in-the-Loop 2.0

UnityOne AI repositions humans from operators to policy architects. Agents execute operations, while you observe, set up policies, and intervene when agents violate defined guardrails, via Intervention Console.

Governance-First Autonomy

Policy-as-Code enforced before execution acts as guardrail against violation. Pre-built compliance mappings across 50+ regulatory frameworks, such as SOC2, GDPR, and more, with sovereignty and data privacy nodes.

Observability + AIOps

A unified deep graph memory builds a persistent context for agents that links real-time observability data with historical incident logs. Infrastructure deviations are flagged immediately, triggering self-healing loops.

Unified Cloud Management

Agents operate on unified DCIM, AIOps, HCMP, FinOps, and GreenOps shared telemetry and contextual intelligence, evaluating cross-domain impacts (e.g., scaling considers cost, compliance, sustainability simultaneously).

Stateful Orchestration

UnityOne AI lives in your clouds. Our agents have complete infrastructure awareness from CPU and latency to cost, security, compliance, topology, and dependencies. This complete context enables true multi-domain orchestration.

Build Your Workflow

Build autonomous, policy-driven ITOps automation workflows using AI agents, ready-to-execute DevOps templates, and 100+ pre-built integrations—all designed and orchestrated within the UnityOne AI drag-and-drop workflow canvas.

Stop Managing Infrastructure. Start Orchestrating It.

See Agentic AI in action across real-world ITOps use cases. Deploy Multi-Agent Systems (MAS) and let our specialized agents do the thinking. Domain supervisors validate. A central orchestrator makes the final call. No black-box automation.

Resource Prediction Workflow

Resource Prediction Workflow

An AI agent monitors and correlates data from all five Azure data sources in real time. When cost anomalies are detected, the agent immediately alerts with specific recommendations.

Result: No surprise bills. Real-time cost optimization.

Workload-Aware GPU Optimization

Workload-Aware GPU Optimization

An AI agent continuously monitors GPU workloads. When requirements change, the agent detaches unused GPUs or downgrades to cost-efficient alternatives.

Result: GPU cost reduction. Right-sized capacity.

Azure Cost Recommendation

Azure Cost Recommendation

The AI agent analyzes unused Azure infrastructure and identifies cost-saving opportunities with actionable recommendations.

Result: Waste eliminated. Savings documented automatically.

Deploy Faster. Get Value Immediately.

Agents operate on data. Without integration, they’re blind. UnityOne AI’s integration layer is the nervous system. It connects specialized agents to every tool, API, and knowledge source you already rely on, so agents can: