Automation that survives contact with production.
Visual workflows that mix deterministic steps with agent reasoning. Triggered by schedule, webhook, mailbox, chat, or your existing systems with one signed API call. Approval gates, rollback, and an audit trail come as standard, not as add-ons.
- Visual canvas
- A dozen trigger types
- Approval & rollback
- One API call from your systems
Processes your operations team can read.
If the people who own the process cannot read the automation, they cannot trust it. So we build on a canvas they can read.
A canvas, not a code dump
Branching, approvals, agent steps, and integrations laid out visually, with published versions and access control. Your process owners can point at the step that needs changing.
Triggered from anywhere, including your systems
Schedules, signed webhooks, mailboxes, file and database changes, forms, chat, and Teams. Or an existing application fires a workflow with a single signed API call and polls the result: governed AI added to a legacy system without touching its codebase.
Consequential steps are gated
Confirmation nodes before destructive operations and approval nodes for human sign-off, with idempotent writes underneath so a retry can never double-execute a payment, a ticket update, or an email.
When step seven fails, steps one through six undo
Side effects register compensations as they execute. On failure, completed steps roll back in reverse order, so a half-finished process does not leave half-finished changes in your systems.
Agent reasoning inside the flow
Steps that think sit alongside steps that do: classify a request, draft a reply, extract fields, decide a route, then hand off to deterministic steps that file, update, render, and send.
Pick a process, ship it, harden it, watch it.
Process selection
We pick a process with real volume and a measurable cost, not a toy. The goal is a number moving, not a demo.
Canvas build
The workflow is built and validated on the studio canvas, with your integrations connected and test runs on record.
Hardening
Failure paths, timeouts, rollback, rate limits, and egress rules are designed and tested before the volume arrives.
Operate
Run history, step traces, and alerts make every execution inspectable. When something misbehaves, you can see exactly which step, with what input.
The canvas, in production.
Automation with receipts.
- Production workflows on processes with real volume
- Trigger integrations, including the one-call endpoint for your systems
- Approval and rollback designed into the flow, not bolted on
- Full run observability with per-step traces
- Runbooks and a trained owner on your side
Sovereign, Arabic-first AI, ready to prove its value on-premises, in weeks.
Start with one high-value use case and measure it on real data.