repliso
Fast replies are useful until the next answer requires judgment. A refund dispute, an upset customer or a question outside your policy is not a good place for AI to keep improvising.
A dependable AI customer service human handoff process has three parts: recognise the trigger, acknowledge the customer and put the case in front of someone who can act. It should feel like progress, rather than being sent back to the beginning.
What Repliso already supports
Repliso's public website describes AI replies based on business knowledge, configurable escalation behaviour and human handoff in its Pro plan. It also recommends human review for sensitive conversations. Verify the features included in your account before configuring a workflow; a suggested policy below is not a claim that every step happens automatically.
Refund requests need a decision-maker
AI can explain a verified returns policy and gather a minimal order reference. It should not approve an exception, reject a disputed refund or invent a legal deadline. A person should review damaged items, duplicate charges, disputed eligibility and policy exceptions.
I can help get this reviewed. Please share your order reference in this private chat. A member of our team will check the request against our returns policy and explain the next step.
Do not promise a refund before authorisation. Avoid requesting full payment-card details or unnecessary identity documents.
Complaints need acknowledgment before investigation
Look for meaning, not just keywords. “This is the third time I have asked” signals a failed process even if the customer never says “complaint.” Repeated unsuccessful answers, damaged deliveries, strong frustration and requests for a manager should enter the human queue.
I understand why this is frustrating. I am passing your message to our team so they can review what happened. You will not need to repeat the details already in this conversation.
Only include a response time if the team can meet it. “By tomorrow at 12:00” is helpful when it is backed by coverage; “soon” without ownership is not.
Unclear answers are a handoff trigger too
Ask one targeted clarification when it could resolve the issue: “Do you mean the blue shirt or the blue jacket?” Escalate when the product cannot be identified, sources conflict, the policy is missing, or the customer says the answer is wrong.
Confidence is not evidence. Your rule should require a current source for prices, stock, delivery commitments and policy decisions. A polished answer without that source should be treated as uncertain.
Give the person a useful case summary
Include the channel, customer question, product or order reference, steps already attempted, relevant policy version and the reason for escalation. Distinguish what the customer says from what has been verified. Keep the conversation accessible without copying private details into unrelated tools.
Assign one owner. Pause automated substantive replies for that case until the owner resolves it or explicitly returns it to AI. An acknowledgment can remain useful, but two competing answers create confusion.
Test the handoff before a busy day
Try a refund exception, a repeated wrong answer and a direct request for a person. Confirm where each case arrives, who is notified and what the customer sees outside working hours. Review unresolved escalations daily and use recurring issues to improve business knowledge.
WhatsApp's Business Messaging Policy requires a clear escalation path when automation is used in its service window. That supports the same practical principle: make it easy to reach help when automation reaches its limit. Source: WhatsApp Business Messaging Policy.
Read Fast replies for creators to divide routine replies from cases that need personal attention.
