Choose one measurable workflow
A pilot should answer a business question, not demonstrate every possible AI feature. Select one enquiry category with enough volume to matter and a clear existing baseline.
- Current first-response time
- Number of repeated enquiries
- Handling time per enquiry
- Escalation rate and reasons
- Quality or consistency problems
Build an approved knowledge boundary
Collect the policies, service descriptions, standard replies and escalation rules that apply to the chosen workflow. Remove conflicts and assign an owner who can approve changes.
The pilot should explicitly state what the AI knows, what it may retrieve and what it must never claim. Live rates, customs decisions and shipment events should not be invented when a source is unavailable.
Run in a controlled channel
Begin on a web experience or limited customer segment before connecting every channel. Review conversations, incorrect answers, unanswered questions and transfers each day during the early period.
Test in parallel with the current service process. This gives the team a safe comparison and keeps customer risk low while prompts, knowledge and routing rules improve.
Decide with evidence
At the end of the pilot, compare the new workflow against its baseline. Evaluate resolution quality and escalation quality alongside speed and workload.
Expand only when the evidence supports it. The next step may be a WhatsApp channel, a read-only tracking interface or a broader knowledge domain—not necessarily a full system replacement.