How to run WhatsApp customer support with Grok Bot

Set up a Grok Bot WhatsApp support workflow that classifies conversations, finds approved answers and prepares replies for human review.

Short answerConnect a company-owned WhatsApp Business number through the approved API route. Let Grok Bot classify conversations, collect order or account context and prepare a reply. Keep every customer send, refund, cancellation and promise behind human approval.

The business problem

WhatsApp support mixes simple status questions with refunds, complaints, cancellations and sensitive account issues. The expensive part is not typing. It is finding the right customer, checking the current facts and knowing when the conversation must leave the ordinary queue.

Use the company’s WhatsApp Business number through the official Cloud API and webhook route. Do not sign a personal consumer account into a shared computer.

What the business provides

A company-owned WhatsApp Business number and approved API connection
Current order, booking or CRM records
The policies Grok Bot may quote
Categories, priority rules and named escalation owners
Approved reply examples and forbidden promises

How the workflow operates

Stage	Grok Bot action	Human boundary
Receive	Read a new conversation through the approved connection	No personal account access
Identify	Match the sender to the correct customer or request	Stop when identity is uncertain
Classify	Mark status, sales, complaint, refund, cancellation or sensitive	Sensitive cases escalate immediately
Prepare	Collect source links and draft the next reply	Do not invent policy, price or timing
Review	Place the draft in the approval queue	A person sends the message
Log	Record outcome, owner and unresolved dependency	No hidden customer-state changes

Copyable first-task brief

Review new WhatsApp Business conversations since the previous run. Match each sender to the approved customer source. Return one row with category, urgency, verified facts, missing information, proposed reply and escalation owner. Do not send, refund, cancel, promise timing or change an account. Stop when identity or policy is unclear.

Prove it before scheduling

Test one ordinary status request and one ambiguous or hostile message. The safe case should produce a sourced draft. The failure case should stop, explain what is missing and name the human owner. Only then consider a routine.

Measure the result

Track first-triage time, conversations missing context, escalations identified correctly and drafts approved without factual edits. The first useful result is fewer missed or mishandled conversations—not an invented promise about replacing support staff.