Agentic workflows you can see, govern, and trust.
Assemble durable automations on a visual canvas, or describe them in plain language. Mix deterministic steps with autonomous agents, draw on 100+ governed tools, and keep a person in the loop where it counts, all inside your own environment.
- Visual canvas
- 100+ governed tools
- Human-in-the-loop
- Durable & reversible
Everything a real process needs, on one canvas.
Compose deterministic logic and autonomous reasoning from a single, governed set of building blocks.
Triggers
Start on a schedule, a system event, a new file, a webhook, an intake form, a chat, or a single API call.
Branch & route
Send the run down different paths with if/else conditions on the data, evaluated deterministically.
Loop & iterate
Map over a list, loop with an exit condition, and run independent items in parallel, all bounded.
Transform & aggregate
Shape and merge data, filter, sort, pick, and converge branches, with no model in the loop.
Capability steps
Call any of 100+ governed tools to read or write in the systems you already run.
Agent steps
Drop an autonomous agent into the flow to reason, choose tools, and act toward a goal.
Human approval
Pause for a person to approve a sensitive step before it proceeds, with a full record.
Answer from knowledge
Ground and cite an answer from your knowledge base inside a workflow, or abstain.
Sub-workflows
Call a published workflow as a step, and compose smaller flows into larger ones.
Run on anything your business does.
Workflows react to the real world, not just a button. Each trigger fires a governed run as a verified machine identity, recorded like any other action.
Autonomous where it helps, deterministic where it matters.
An agent step reasons toward a goal and chooses its own tools; a manager agent delegates to specialist sub-agents. Every agent is scoped, bounded, and governed, so autonomy never means a loss of control.
- A manager agent coordinates scoped specialist sub-agents
- Each agent is limited to its own knowledge and a granted set of tools
- Per-agent memory keeps it on task across turns
- Bounded reasoning with a hard iteration cap and budget
- Asks when a detail is missing, rather than inventing it
100+ governed tools, each approved before it can act.
Tools are the hands of a workflow. Every one carries its governance, and only an approved capability can be used, so what an automation can do is always explicit and auditable.
- Each tool declares its side-effect (read or write), confirmation, identity, and rollback
- Only approved capabilities can be placed in a workflow
- Import tools from an MCP server, an OpenAPI spec, or a manifest
- Databases, files, CRM, messaging, web, and your own REST APIs
The governance is built into the run, not bolted on after.
Every workflow inherits the same guarantees, so automating real, consequential work stays safe.
Human-in-the-loop
- Sensitive steps pause for approval
- Maker-checker: the approver is never the requester
- Signed approval links and an approval inbox
- Timeouts and cancellation are first-class
No double-actions, reversible
- Nothing runs twice, even on retry
- Failed multi-step tasks roll back in order
- Each committed action registers its undo
- Best-effort or all-or-nothing, by design
Durable & resumable
- Long runs survive restarts and resume
- Encrypted end to end
- Versioned so edits never disrupt live runs
- Budgets and quotas enforced per run
Recorded & attributable
- Every step recorded with masked inputs and outputs
- Attributable to a verified person and the exact agent version
- A tamper-evident, hash-chained audit trail
- Every decision traceable end to end
Build it visually, debug it in the flow, change it safely.
Assemble a workflow on the canvas or describe it in plain language and review the draft. Then operate it with confidence, with a run inspector and safe versioning.
- A visual canvas, or describe it and review what it drafts
- Inspect any run node-by-node: resolved inputs, outputs, errors, timing
- Re-test a single step without replaying the whole flow
- Published versions are immutable, so in-flight runs are never disrupted
A real workflow, on a real canvas.
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.