From scattered experiments to governed operations
Workflows in NOVA never run in the dark: every flow appears in one operations center: its state, its runs, and what awaits your team's approval: and launches in deliberate stages that give you evidence before you expand.
All your flows on one screen
What's running now, what awaits approval, and what's scheduled: the whole operational state in front of your team, not scattered across inboxes.
An illustrative view of the operations center: system names and figures are display examples.
See the operation: don't guess it
Unobserved AI quietly becomes risk. In NOVA, every flow has its indicators, and every run has its record.
Success rate, run time, and where steps slow down: per flow, not blanket averages that hide the problem.
Every run is its own record: where it started, where it halted, and why: turning "what happened?" from an investigation into a read.
Humans at the point of decision
Mature automation knows its limits. Policies define what proceeds on its own: and what stops at your team, waiting for their word.
Amount limits, sensitive data, execution windows: central policies that apply to every agent and flow, not scattered settings.
When an action escalates, the reviewer receives its context: what was requested, why the agent proposed it, and its impact: they decide with confidence, and the decision is recorded.
A rollout is a journey, not a switch
Nobody hands their operations to a new system all at once: nor should they. Every flow in NOVA earns its permissions with evidence, stage after stage.
Two separate environments: experiment on sample data in development, and go live when the team is confident: no experiments on live operations.
Start with a limited scope and mandatory approvals, review the trail, then widen the boundaries gradually: expansion decisions rest on a recorded track, not enthusiasm.
Build in the development environmentStep-by-step testing on sample data
Pilot run with mandatory approvalsEvery action passes a human reviewer
Limited production launchScoped reach, close monitoring
Gradual boundary expansionRaise permissions after reviewing the trail
Numbers from the design, not the marketing
These are design properties of NOVA's architecture and the rollout methodology we recommend: not measured customer results. Actual operational impact varies with your systems and flows.
Questions from operations teams
A flow is the complete path from event to outcome across your systems: receiving the message, the lookup, the execution, the notification. An AI agent is a step inside the flow: it understands and decides within its drawn permissions. The flow organizes the work, the agent thinks inside it: and both sit under the same monitoring and the same audit trail.
In stages, not with a switch: build the flow in the separate development environment and test it on sample data, then pilot it with mandatory human approvals on every action, then launch it on a limited production scope: and expand its boundaries gradually after reviewing the run trail. Each stage gives you evidence before the next.
Every run is its own record you can read step by step: where it started, at which step it halted, and why: a failed system connection, or an action stopped at the permission check awaiting approval. With each step's latency and who approved or rejected, "what happened?" turns from a long investigation into a direct read.
Operations complete the system
The mind that decides, the canvas the flows are built on, and the place the data lives.
The AI Engine
The mind that understands and decides inside every flow: Arabic-first, within explicit boundaries.
See how it decidesThe Canvas: visual builder
Where flows are drawn before they're operated here: drag and drop, Arabic-first.
Explore the CanvasDeployment & sovereignty
In-Kingdom cloud, your private cloud (VPC), or isolated on-premises: operations run where you decide.
Deployment optionsAI workflow automation
How teams use governed workflows to automate their daily operations: in practice.
Read the solutionTrust Center
Our security model, our position on the Saudi data protection law (PDPL), and how we handle reviews.
Explore the governance centerPricing
Billed on actual flow executions: not seats, in Saudi Riyals.
Review the plansRun your first flow in full view.
Book a live demo where we build a flow on a scenario from your own work: and watch observability, approvals and staged rollout operate in front of you.