Automate the busywork
FaStart takes an agent-native approach to automation: the AI Store Operator runs repetitive operations through your approval — you stay in control.
On the roadmap
Early AccessWe're building this capability. The interface and flow are designed exactly as described here; live functionality switches on once the backend is connected.
FaStart's approach to automation is agent-native rather than a classic rule builder. The AI Store Operator runs approval-first operations — routing orders, flagging low stock, drafting customer follow-ups, and proposing catalog updates — and nothing executes without your sign-off (early access). A traditional rule-based (trigger → condition → action) workflow builder is on the roadmap. FaStart is built at GTÜ Teknopark, scales on AWS, and develops its AI with NVIDIA Inception.
What you can automate
The Store Operator is designed to take over repetitive operations work with your approval. The capabilities below are in early access or on the roadmap.
Order routing
Proposals to review, hold, or release orders for fulfillment based on conditions — applied with your approval.
Inventory alerts
Alerts when stock runs low, reorder suggestions, and hiding out-of-stock products — the operator spots it, you approve it.
Customer follow-ups
Drafted customer messages based on order, shipment, or abandoned-cart status — surfaced for approval before sending.
Catalog updates
Suggestions for description, tag, and price edits. Bulk rule-based catalog automation is on the roadmap.
Fraud / risk flags
A flow that flags high-risk orders for your review — rule-based risk scoring is on the roadmap.
How agentic automation works
It sets up in three steps and is always approval-first.
- 01
Connect
You connect your store; the operator reads catalog, order, and inventory data in an agent-native form.
- 02
Approve
The operator proposes an action; you review and approve it. Nothing is applied without your sign-off.
- 03
Automate
For tasks you trust, you hand off the repetitive work while keeping the audit trail and control.
Approval-first, always
Agent-native automation does not take control away from you. The operator proposes actions; you approve before anything runs, and every step stays auditable.
- Propose first, then approve
- Transparent audit trail
- Human always in the loop
Rule-based workflows are coming
We are designing a classic workflow builder with trigger → condition → action blocks alongside the agent-native operation. The interface is planned exactly as described here.
- No-code trigger/action blocks
- Plug-and-play templates
- Scheduled automations
Frequently asked questions
Is FaStart automation rule-based?
Today's approach is agent-native: the AI Store Operator runs approval-first operations (early access). A classic rule-based workflow builder with trigger → condition → action blocks is on the roadmap.
Will automation act without my approval?
No. Agent-native automation is approval-first — the operator proposes actions, you approve before anything runs, and every step stays auditable.
What can I automate?
Order routing, inventory alerts, and customer follow-ups are designed in early access; rule-based flows for catalog updates and fraud/risk flags are on the roadmap.
Can I use this now?
Agent-native operations are in early access. Join the waitlist to line up for access as it rolls out.
Automate the busywork
Agent-native automation is in early access. Join the waitlist and we'll let you know as we roll it out.