Premium private beta

Use supervised WhatsApp AI workflows

Review an inbound message with CRM history, refine the proposed reply, approve the exact outbound text, and turn the request into supervised follow-up.

ForClub ownersReception & operations

Before you start

Your organization must be onboarded to the Premium private beta with WhatsApp connected and staff trained on the approval rule.

What you will have

The customer will receive only human-approved text, the conversation will remain linked to CRM history, and any next action will have an operator owner.

Tips

Review the exact customer language and current CRM facts before approval. Ask for a revision whenever the draft is incomplete or too confident.

Troubleshooting

If a draft is pending, approve, reject or revise that draft before starting another send. Never assume a message was delivered without a successful approved-send result.

Steps

01

Receive and classify the inbound message

The workflow resolves the direct-message phone. A known phone uses its CRM player; a new non-spam contact can receive a basic CRM record, while sales or spam should not create customer follow-up.

Daily WhatsApp conversation list linked to CRM players
Reception can open the day’s customer conversation from a searchable, player-linked list.
02

Confirm the linked player

Check name, phone and relevant CRM facts. For an inbound customer turn, context is locked to that contact rather than searching unrelated players.

Player profile Conversations tab showing linked WhatsApp history
Conversation history stays linked to the player profile so staff can review context before responding.
03

Read recent turns, summaries and academy context

Review up to the recent conversation context available to the assistant, including today’s unsummarized turns, plus the player’s relevant academy enrollment history.

04

Review and revise the proposed reply

Treat the assistant text as a draft. Check facts, tone, customer language, prices and promised action; request changes or reject it when needed.

05

Explicitly approve the exact outbound text

Only the human approval decision releases the pending WhatsApp message. Rejection sends nothing, and no autonomous reply is permitted.

06

Keep the exchange in conversation history

Inbound and approved outbound turns append to the day record. Staff can later read the open day’s turns or its saved daily summary from Conversations or the player profile.

Conversation detail panel showing the day’s complete WhatsApp message turns
Review the full unsummarized exchange before continuing customer follow-up.
07

Create the supervised operational follow-up

The operator can create or update a task, create a meet, or create an academy interest enrollment with its linked follow-up task. The same enrollment can also be completed in Dashboard → Academy. Customer inbound turns cannot perform these operator-only actions themselves.

Task slide-over with assignee, due date, linked record and checklist
Task details keep the owner, deadline, checklist and operational context in one view.
Academy interest enrollment slide-over with linked follow-up task
An academy lead record holds course details and the high-urgency task that drives the next follow-up.

Use supervised WhatsApp AI workflows

Review an inbound message with CRM history, refine the proposed reply, approve the exact outbound text, and turn the request into supervised follow-up.

Request AI beta access