AI deployment checklist for GCC teams starting with one workflow
The first AI deployment should be small enough to control and important enough to matter. This checklist helps teams make that decision with discipline.
1. Choose a workflow that already has visible friction. Good first candidates include sales follow-up drift, support response backlog, operations routing delays, or recurring internal service requests.
2. Name the business role explicitly. Do not deploy "AI" in general. Deploy a sales AI employee, support AI employee, or operations AI employee.
3. Set one measurable target. Examples include meetings booked, response time, ticket coverage, throughput, or task turnaround.
4. Define what systems it can use. Clarify the inboxes, CRMs, forms, knowledge sources, or task systems involved in the workflow.
5. Define approval and escalation logic. Teams need to know what the AI can do automatically, what requires review, and what must escalate to a human.
6. Confirm bilingual requirements. If the workflow moves across Arabic and English, define where each language appears and what quality bar is required.
7. Decide what the reporting loop looks like. Managers need visibility into throughput, handoffs, exceptions, and progress toward target.