AI-powered customer operations — with policy control
Every action governed, logged, and executed through a controlled operational pipeline.
| ID | Customer | Action | Status | |
|---|---|---|---|---|
| PRQ-2041 | Ahmed Al-Salmani | Create Coupon | Pending | ApproveReject |
| PRQ-2040 | Sara Al-Otaibi | Update Order | Pending | ApproveReject |
| PRQ-2039 | M. Al-Ghamdi | Tag Conversation | Approved |
Approval Queue
Every AI-proposed action enters a review queue before execution. Approve individually or in batch — with full context on why the AI proposed it and what policy applies.
Every action passes through merchant policies before execution
Define risk thresholds, amount limits, and allowed action types. The AI operates strictly within your boundaries — and escalates anything outside them.
Merchant data isolation — by architecture
Your store's data is separated at the database layer. No other merchant can access your customers, orders, or policies — by design, not just policy.
Every AI action is logged, reviewable, and attributable
Full traceability from the incoming message to the final outcome. Know who proposed, who approved, and what executed — with timestamps at every step.
Connect once. Execute operations across all connected systems
Native integrations with Salla, Zid, and WhatsApp Business. AI actions write directly to your store — order updates, refunds, and notifications without manual relay.
Operational visibility and performance measurement
Track approval rates, execution volume, time savings, and policy effectiveness. Operational decisions backed by real data.
Built for merchant control. Designed for operational scale.
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