Orqit unifies discovery, ownership, and compliance into a single execution graph, letting teams see how each asset influences approvals, SLA exposure, and incident impact.
Orqit bridges the gap between financial stewardship and operational readiness by delivering a single source of truth for every asset, enriched with AI-driven insights for lifecycle planning and risk mitigation.
Orqit replaces fragmented spreadsheets and shadow IT with an execution-aware asset graph. When a new device is provisioned, the platform immediately links it to its owner, related change tickets, and any SLA obligations. Any policy violation—such as an unpatched OS on a critical server—triggers a governance checkpoint that surfaces the risk to the responsible team before it impacts service continuity.
Comprehensive ITAM for asset managers, finance & procurement, and security officers who need accurate inventory and risk visibility.
Agent-less scanning of on-prem and cloud environments.
Track procurement, deployment, maintenance, and retirement stages.
Financial dashboards for CAPEX/OPEX analysis.
Link assets to security policies and incident tickets.
Recommend refresh actions that respect approval chains and compliance rules.
Orqit maps every device, attaches owners and related change tickets, and flags assets lacking valid warranty.
When a user leaves, workflows reassign assets, update CMDB entries, and transfer SLA commitments.
Missing critical patches surface a governance checkpoint requiring security sign-off before production use.
Quarterly, depreciation and utilization metrics highlight under-used resources and licensing review gates.
All state changes, ownership transfers, and compliance actions export from an immutable ledger for auditors.
Eliminate manual spreadsheet reconciliation with live compliance status.
Asset-related approvals pass governance checkpoints without deadlocks.
Every change is recorded—no separate audit preparation project.
Health and cost visibility prevents service exposure from aging hardware.
The AI co-pilot analyses asset utilization trends, compliance drift, and cost patterns, then surfaces actionable recommendations that already respect the governing approval workflow.
Dashboards show asset health, depreciation curves, compliance status, and AI-driven optimization scores.
Yes – native connectors ingest AWS, Azure, and GCP resource metadata.
AI models run within the tenant VPC; data never leaves the environment.
Launch a pilot workspace or book a walkthrough with our team.
FAQ + knowledge base