Audit what customers actually ask
Export the last thirty days of WhatsApp chats or have staff tag incoming messages for one week. You will see clusters: "fee kitna hai," "Sunday open?," "parking available?", the same themes with different wording.
Rank clusters by frequency and risk. High-frequency, low-risk questions (timings, address, basic pricing) are automation candidates. High-risk questions (refunds, medical advice, legal commitments) stay human-first with optional draft replies.
Turn answers into owned knowledge, not memory
Consolidate approved answers into PDFs, Notion exports, or simple FAQ sheets, one source of truth per location if you run branches. When prices change, update the document once; automation propagates the new answer everywhere.
Sabrixa indexes those files and retrieves the relevant chunk per question, so you are not maintaining brittle if-this-then-that trees. Gyms upload class schedules; salons upload service menus, the bot mirrors what you already use internally.
Close the loop so repeats do not creep back
When a human answers something new, add it to the knowledge base within forty-eight hours. Assign an owner, often the same person who updates Instagram, so documentation does not rot.
Publish a short "before you message us" note in your profile or auto-greeting for the top five questions, but rely on the bot for conversational follow-ups. Businesses that treat WhatsApp like a searchable help centre see repeat volume drop within the first month.