Orqit stitches together systems, policies, and approvals into a single execution fabric, turning ad-hoc hand-offs into coordinated flows.
Orqit provides a low-code, policy-centric automation platform where AI suggests optimal flow configurations, monitors execution, and automatically remediates deviations.
Operators use a visual canvas to compose a graph where each node represents a policy-driven action, a data source, or a governance checkpoint. When a trigger fires—be it a new ticket, an asset state change, or a scheduled event—the orchestration engine evaluates the full dependency chain, enforces compliance at each step, and surfaces any cross-system risk before the workflow proceeds.
Policy-centric automation for operations engineers, business analysts, and IT leaders who need compliance-by-design orchestration.
Drag-and-drop canvas with reusable components.
React to tickets, asset changes, or external webhooks.
Branches evaluated against governance before transitions proceed.
Embed compliance rules that auto-reject non-conforming actions.
Real-time run-books, logs, and retry capabilities.
HR event triggers asset provisioning, ITSM request, and manager/security/finance approvals before access.
SLA breach risk auto-generates approval, notifies senior engineers, and enforces governance before escalation.
Expiring licenses initiate purchase workflow with finance and legal sign-off, then update the asset registry.
Vulnerability scan validates staging, orchestrates deployment, and logs each step for audit.
Orchestration moves work from trigger to outcome without manual wait time.
Replace ad-hoc approvals with policy gates at every transition.
Every step recorded for regulators without extra preparation.
Anticipate downstream impact and prevent cascading failures.
The AI co-pilot surfaces execution bottlenecks, suggests additional governance checkpoints, and recommends optimal step ordering based on historic run data—all within the operator-driven workflow.
Dashboards surface workflow success rates, average execution time, failure reasons, and AI recommendation acceptance rate.
Yes – each change creates a new immutable version with diff view.
Built-in retry policies and conditional branching allow graceful recovery or escalation.
Launch a pilot workspace or book a walkthrough with our team.
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